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2060件中 1件 - 30件 1 2 3 4 5 6

商品	説明	価格
EXACTLY SOLVED MODELS IN STATISTICAL MEC [ RODNEY BAXTER ] 楽天ブックス	RODNEY BAXTER DOVER PUBLICATIONS INC (USA).2008 English アメリカ合衆国 ISBN：9780486462714 洋書 Computers & Science（コンピューター＆科学） Science	4,118円
統計的な？数字に騙されないための10の視点　STATISTICAL [ アンソニー・ルーベン ] 楽天ブックス	アンソニー・ルーベンすばる舎トウケイテキナ　スウジニダマサレナイタメノジュウノシテン　スタティスティカルアンソニールーベン発行年月：2019年12月23日予約締切日：2019年11月11日ページ数：208p サイズ：単行本 ISBN：9784799108703 ルーベン，アンソニー（Reuben,Anthony）英BBC初の統計部長を務め、現在は彼自身が確立した事実確認の手法で企業のファクトチェックを行う。23年のジャーナリズムの経験があり、BBCニュースウェブサイトでは、過去12年間に数百万人の読者を得てきた。ジャーナリズムの卓越性について、王立統計学会の賞を2度にわたり受賞田畑あや子（タバタアヤコ）翻訳家（本データはこの書籍が刊行された当時に掲載されていたものです）第1章　アンケート調査／第2章　世論調査／第3章　コスト／第4章　パーセンテージ／第5章　平均／第6章　大きな数字／第7章　相関関係と因果関係／第8章　危険なフレーズ／第9章　リスクと不確実性／第10章　経済モデル統計データ・世論調査・確率・平均…数字は嘘を吐かないが嘘つきは数字を使う。英BBC初の統計部長にしてファクトチェックの現役トップが明快に解説！本ビジネス・経済・就職その他科学・技術数学	1,760円
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition)【電子書籍】[ Nabanita Dash ] 楽天Kobo電子書籍ストア	＜p＞Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!＜br /＞ Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.＜br /＞ The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.＜br /＞ Table of Contents1. Julia In Data Science Arena2. Getting Started with Julia3. Features Assisting Scaling ML Projects4. Data Structures in Julia5. Working With Datasets In Julia6. Basics of Statistics7. Probability Data Distributions8. Framing Data in Julia9. Working on Data in DataFrames10. Visualizing Data in Julia11. Introducing Machine Learning in Julia12. Data and Models13. Bayesian Statistics and Modeling14. Parallel Computation in Julia15. Distributed Computation in JuliaIndex＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,400円
Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (Dsm-5-Tr(r)) DIAGNOSTIC & STATISTICAL MANUA [ American Psychiatric Association ] 楽天ブックス	DIAGNOSTIC & STATISTICAL MANUA American Psychiatric Association AMER PSYCHIATRIC ASSN PUB2022 Paperback English ISBN：9780890425763 洋書 Computers & Science（コンピューター＆科学） Medical	43,384円
GARCH Models Structure, Statistical Inference and Financial Applications【電子書籍】[ Christian Francq ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline＜/strong＞＜/p＞＜p＞This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation, and tests. The book also provides new coverage of several extensions such as multivariate models, looks at financial applications, and explores the very validation of the models used.＜/p＞＜p＞＜em＞GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition＜/em＞ features a new chapter on Parameter-Driven Volatility Models, which covers Stochastic Volatility Models and Markov Switching Volatility Models. A second new chapter titled Alternative Models for the Conditional Variance contains a section on Stochastic Recurrence Equations and additional material on EGARCH, Log-GARCH, GAS, MIDAS, and intraday volatility models, among others. The book is also updated with a more complete discussion of multivariate GARCH; a new section on Cholesky GARCH; a larger emphasis on the inference of multivariate GARCH models; a new set of corrected problems available online; and an up-to-date list of references.＜/p＞＜ul＞＜li＞Features up-to-date coverage of the current research in the probability, statistics, and econometric theory of GARCH models＜/li＞＜li＞Covers significant developments in the field, especially in multivariate models＜/li＞＜li＞Contains completely renewed chapters with new topics and results＜/li＞＜li＞Handles both theoretical and applied aspects＜/li＞＜li＞Applies to researchers in different fields (time series, econometrics, finance)＜/li＞＜li＞Includes numerous illustrations and applications to real financial series＜/li＞＜li＞Presents a large collection of exercises with corrections＜/li＞＜li＞Supplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with corrections＜/li＞＜/ul＞＜p＞＜em＞GARCH Models, 2nd Edition＜/em＞ is an authoritative, state-of-the-art reference that is ideal for graduate students, researchers, and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	14,085円
Statistical Analysis with Missing Data【電子書籍】[ Roderick J. A. Little ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞An up-to-date, comprehensive treatment of a classic text on missing data in statistics＜/strong＞＜/p＞＜p＞The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.＜/p＞＜p＞＜em＞Statistical Analysis with Missing Data, Third Edition＜/em＞ starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics.＜/p＞＜ul＞＜li＞An updated “classic” written by renowned authorities on the subject＜/li＞＜li＞Features over 150 exercises (including many new ones)＜/li＞＜li＞Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods＜/li＞＜li＞Revises previous topics based on past student feedback and class experience＜/li＞＜li＞Contains an updated and expanded bibliography＜/li＞＜/ul＞＜p＞The authors were awarded ＜strong＞The Karl Pearson Prize＜/strong＞ in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI)＜/p＞＜p＞＜em＞Statistical Analysis with Missing Data, Third Edition＜/em＞ is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	12,239円
Bioinformatic and Statistical Analysis of Microbiome Data From Raw Sequences to Advanced Modeling with QIIME 2 and R【電子書籍】[ Yinglin Xia ] 楽天Kobo電子書籍ストア	＜p＞This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research.＜/p＞＜p＞＜em＞Bioinformatic and Statistical Analysis of Microbiome Data＜/em＞ is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	24,309円
Statistical Methods for Experimental Research in Education and Psychology【電子書籍】[ Jimmie Leppink ] 楽天Kobo電子書籍ストア	＜p＞This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used.＜/p＞＜p＞The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre.＜/p＞＜p＞Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,116円
Real Estate Analysis in the Information Age Techniques for Big Data and Statistical Modeling【電子書籍】[ Kimberly Winson-Geideman ] 楽天Kobo電子書籍ストア	＜p＞The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data.＜/p＞＜p＞Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The final chapters investigate legal issues, particularly related to those data that are publicly available, and conclude by speculating on the future of Big Data in real estate.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	12,284円
Bayesian Statistical Modeling with Stan, R, and Python【電子書籍】[ Kentaro Matsuura ] 楽天Kobo電子書籍ストア	＜p＞This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.＜/p＞＜p＞The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world data: longitudinal data analysis, state space models, spatial data analysis, Gaussian processes, Bayesian optimization, dimensionality reduction, model selection, and information criteria, demonstrating that Stan can solve any one of these problems in as little as 30 lines.＜/p＞＜p＞Using numerous easy-to-understand examples, the book explains key concepts, which continue to be useful when using future versions of Stan and when using other statistical modeling tools. The examples do not require domain knowledge and can be generalized to many fields. The book presents full explanations of code and math formulas, enabling readers to extend models for their own problems. All the code and data are on GitHub.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	17,016円
Statistical Models and Methods for Reliability and Survival Analysis【電子書籍】楽天Kobo電子書籍ストア	＜p＞＜em＞Statistical Models and Methods for Reliability and Survival Analysis＜/em＞ brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance.＜/p＞＜p＞The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	24,208円
Operation Barbarossa the Complete Organisational and Statistical Analysis, and Military Simulation, Volume I【電子書籍】[ Nigel Askey ] 楽天Kobo電子書籍ストア	＜p＞In June 1941 the German Wehrmacht launched Operation Barbarossa: the attack on the USSR and the largest land invasion in recorded history. The titanic battles that followed led to the greatest loss of life ever experienced in a military campaign. Since the end of WWII there has been intense discourse about the key operational and strategic decisions made by the German and Soviet high commands on the East-Front, especially during the critical period from July to September 1941.＜/p＞＜p＞＜em＞Operation Barbarossa: the Complete Organisational and Statistical Analysis, and Military Simulation＜/em＞ focuses on 1941 - when the USSR came closest to defeat. It includes full analyses of the belligerents’ armed forces, weapons, equipment, personnel, transport, logistics, war-production, mobilisation and replacements. Uniquely, the work formalises a sophisticated military simulation methodology extending from the tactical to the strategic level, and applies this methodology to each of the belligerents. Volume I, the first of six volumes, is primarily concerned with the structure of this methodology, but uses many of the events and weapons from Operation Barbarossa as illustrative case studies. The complete work represents the most historically accurate, advanced and comprehensive quantitative analysis yet, of the 1941 campaign on the East-Front.＜/p＞＜p＞Operation Barbarossa: the Complete Organisational and Statistical Analysis, and Military Simulation is the culmination of over ten years of research and collation. It brings together an immense amount of information from many published and unpublished sources, and presents it with contextual history and analyses. The professional researcher or amateur scholar of WWII is provided with a comprehensive data source, containing the details of all the armed forces involved on the East-Front during 1941, as well as the relevant economic and logistical support. Currently no other single work provides a comparable reference of the actual Soviet and Axis land, air and naval forces involved in what was the most decisive and destructive campaign of WWII.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,724円
Statistical Approach to Quantum Field Theory An Introduction【電子書籍】[ Andreas Wipf ] 楽天Kobo電子書籍ストア	＜p＞Over the past few decades the powerful methods of statistical physics and Euclidean quantum field theory have moved closer together, with common tools based on the use of path integrals. The interpretation of Euclidean field theories as particular systems of statistical physics has opened up new avenues for understanding strongly coupled quantum systems or quantum field theories at zero or finite temperatures.＜/p＞＜p＞Accordingly, the first chapters of this book contain a self-contained introduction to path integrals in Euclidean quantum mechanics and statistical mechanics. The resulting high-dimensional integrals can be estimated with the help of Monte Carlo simulations based on Markov processes. The most commonly used algorithms are presented in detail so as to prepare the reader for the use of high-performance computers as an “experimental” tool for this burgeoning field of theoretical physics.＜/p＞＜p＞Several chapters are then devoted to an introduction to simple lattice field theories and a variety of spin systems with discrete and continuous spins, where the ubiquitous Ising model serves as an ideal guide for introducing the fascinating area of phase transitions. As an alternative to the lattice formulation of quantum field theories, variants of the flexible renormalization group methods are discussed in detail. Since, according to our present-day knowledge, all fundamental interactions in nature are described by gauge theories, the remaining chapters of the book deal with gauge theories without and with matter.＜/p＞＜p＞This text is based on course-tested notes for graduate students and, as such, its style is essentially pedagogical, requiring only some basics of mathematics, statistical physics, and quantum field theory. Yet it also contains some more sophisticated concepts which may be useful to researchers in the field. Each chapter ends with a number of problems ? guiding the reader to a deeper understanding of some ofthe material presented in the main text ? and, in most cases, also features some listings of short, useful computer programs.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	8,503円
ファイナンスのための統計学統計的アプローチによる評価と意思決定 / 原タイトル:Statistical Models and Methods for Financial Markets[本/雑誌] / TzeLeungLai/著 HaipengXing/著松原望/訳山村吉信/訳ネオウィング楽天市場店	ご注文前に必ずご確認ください＜商品説明＞ファイナンスの実務における数理の知識、とくに統計学の活用は増している。本書は、まず統計理論の殆どをカバーしながら、統計分析をよりよく活用するための技術的配慮にも気をくばり構成している。＜収録内容＞第1部基礎的な統計的方法とファイナンスへの応用(線形回帰モデル多変量解析と尤度推定基本的投資モデルとその統計分析最尤法とベイズ推定時系列解析資産利回りのダイナミック・モデルとそのボラティリティ)第2部計量ファイナンスにおける先進的話題(ノンパラメトリック回帰と実体実証的モデル化オプション価格とマーケットデータフィナンシャル計量経済学における多変量解析と時系列分析の進んだ方法金利市場統計的トレーディング戦略リスクマネジメントの統計的方法)＜商品詳細＞商品番号：NEOBK-1945224TzeLeungLai / Cho HaipengXing / Cho Matsubara Nozomi / Yaku Yamamura Yoshinobu / Yaku / Finance No Tame No Tokei Gaku Tokei Teki Approach Niyoru Hyoka to Ishi Kettei / Original Title: Statistical Models and Methods for Financial Marketsメディア：本/雑誌重量：463g発売日：2016/05JAN：9784489022395ファイナンスのための統計学統計的アプローチによる評価と意思決定 / 原タイトル:Statistical Models and Methods for Financial Markets[本/雑誌] / TzeLeungLai/著 HaipengXing/著松原望/訳山村吉信/訳2016/05発売	4,180円
Diagnostic and Statistical Manual of Mental Disorders, 5th Edition DSM-5【電子書籍】[ American Psychiatric Association ] 楽天Kobo電子書籍ストア	＜p＞This new edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5?), used by clinicians and researchers to diagnose and classify mental disorders, is the product of more than 10 years of effort by hundreds of international experts in all aspects of mental health. Their dedication and hard work have yielded an authoritative volume that defines and classifies mental disorders in order to improve diagnoses, treatment, and research.＜/p＞＜p＞The criteria are concise and explicit, intended to facilitate an objective assessment of symptom presentations in a variety of clinical settings -- inpatient, outpatient, partial hospital, consultation-liaison, clinical, private practice, and primary care. New features and enhancements make DSM-5? easier to use across all settings:＜/p＞＜p＞The chapter organization reflects a lifespan approach, with disorders typically diagnosed in childhood (such as neurodevelopmental disorders) at the beginning of the manual, and those more typical of older adults (such as neurocognitive disorders) placed at the end. Also included are age-related factors specific to diagnosis. The latest findings in neuroimaging and genetics have been integrated into each disorder along with gender and cultural considerations. The revised organizational structure recognizes symptoms that span multiple diagnostic categories, providing new clinical insight in diagnosis. Specific criteria have been streamlined, consolidated, or clarified to be consistent with clinical practice (including the consolidation of autism disorder, Asperger's syndrome, and pervasive developmental disorder into autism spectrum disorder; the streamlined classification of bipolar and depressive disorders; the restructuring of substance use disorders for consistency and clarity; and the enhanced specificity for major and mild neurocognitive disorders). Dimensional assessments for research and validation of clinical results have been provided. Both ICD-9-CM and ICD-10-CM codes are included for each disorder, and the organizational structure is consistent with the new ICD-11 in development.＜/p＞＜p＞The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, is the most comprehensive, current, and critical resource for clinical practice available to today's mental health clinicians and researchers of all orientations. The information contained in the manual is also valuable to other physicians and health professionals, including psychologists, counselors, nurses, and occupational and rehabilitation therapists, as well as social workers and forensic and legal specialists.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,334円
Mastering Python for Finance Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition【電子書籍】[ James Ma Weiming ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore advanced financial models used by the industry and ways of solving them using Python＜/li＞＜li＞Build state-of-the-art infrastructure for modeling, visualization, trading, and more＜/li＞＜li＞Empower your financial applications by applying machine learning and deep learning＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.＜/p＞＜p＞You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and sklearn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.＜/p＞＜p＞By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Solve linear and nonlinear models representing various financial problems＜/li＞＜li＞Perform principal component analysis on the DOW index and its components＜/li＞＜li＞Analyze, predict, and forecast stationary and non-stationary time series processes＜/li＞＜li＞Create an event-driven backtesting tool and measure your strategies＜/li＞＜li＞Build a high-frequency algorithmic trading platform with Python＜/li＞＜li＞Replicate the CBOT VIX index with SPX options for studying VIX-based strategies＜/li＞＜li＞Perform regression-based and classification-based machine learning tasks for prediction＜/li＞＜li＞Use TensorFlow and Keras in deep learning neural network architecture＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Statistical Methods in Health Disparity Research【電子書籍】[ J. Sunil Rao ] 楽天Kobo電子書籍ストア	＜p＞A health disparity refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to others attributable to multiple factors including socioeconomic status, environmental factors, insufficient access to health care, individual risk factors, and behaviors and inequalities in education. These disparities may be due to many factors including age, income, and race. ＜em＞＜strong＞Statistical Methods in Health Disparity Research＜/strong＞＜/em＞ will focus on their estimation, ranging from classical approaches including the quantification of a disparity, to more formal modeling, to modern approaches involving more flexible computational approaches.＜/p＞＜p＞＜strong＞Features:＜/strong＞＜/p＞＜ul＞＜li＞Presents an overview of methods and applications of health disparity estimation＜/li＞＜li＞First book to synthesize research in this field in a unified statistical framework＜/li＞＜li＞Covers classical approaches, and builds to more modern computational techniques＜/li＞＜li＞Includes many worked examples and case studies using real data＜/li＞＜li＞Discusses available software for estimation＜/li＞＜/ul＞＜p＞The book is designed primarily for researchers and graduate students in biostatistics, data science, and computer science. It will also be useful to many quantitative modelers in genetics, biology, sociology, and epidemiology.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	8,945円
Statistical Mechanics【電子書籍】[ Paul D. Beale ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Statistical Mechanics＜/em＞ explores the physical properties of matter based on the dynamic behavior of its microscopic constituents. After a historical introduction, this book presents chapters about thermodynamics, ensemble theory, simple gases theory, Ideal Bose and Fermi systems, statistical mechanics of interacting systems, phase transitions, and computer simulations.＜/p＞＜p＞This edition includes new topics such as BoseEinstein condensation and degenerate Fermi gas behavior in ultracold atomic gases and chemical equilibrium. It also explains the correlation functions and scattering; fluctuationdissipation theorem and the dynamical structure factor; phase equilibrium and the Clausius-Clapeyron equation; and exact solutions of one-dimensional fluid models and two-dimensional Ising model on a finite lattice. New topics can be found in the appendices, including finite-size scaling behavior of Bose-Einstein condensates, a summary of thermodynamic assemblies and associated statistical ensembles, and pseudorandom number generators. Other chapters are dedicated to two new topics, the thermodynamics of the early universe and the Monte Carlo and molecular dynamics simulations.＜/p＞＜p＞This book is invaluable to students and practitioners interested in statistical mechanics and physics.＜/p＞＜ul＞＜li＞Bose-Einstein condensation in atomic gases＜/li＞＜li＞Thermodynamics of the early universe＜/li＞＜li＞Computer simulations: Monte Carlo and molecular dynamics＜/li＞＜li＞Correlation functions and scattering＜/li＞＜li＞Fluctuation-dissipation theorem and the dynamical structure factor＜/li＞＜li＞Chemical equilibrium＜/li＞＜li＞Exact solution of the two-dimensional Ising model for finite systems＜/li＞＜li＞Degenerate atomic Fermi gases＜/li＞＜li＞Exact solutions of one-dimensional fluid models＜/li＞＜li＞Interactions in ultracold Bose and Fermi gases＜/li＞＜li＞Brownian motion of anisotropic particles and harmonic oscillators＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	8,722円
Implementing ISO 27001 Simplified Full Fledged Information on Implementing End-to-End Information Security with Real Time Statistical Data and Analysis【電子書籍】[ Dr. Deepak D Kalambkar ] 楽天Kobo電子書籍ストア	＜p＞In this book, users will get to know about the ISO 27001 and how to implement the required policies and procedures to acquire this certification. Real policies and procedures have been used as examples with step by step explanations about the process which includes implementing group polices in windows server. And lastly, the book also includes details about how to conduct an Internal Audit and proceed to the Final Audit＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	262円
Data Science and Machine Learning Mathematical and Statistical Methods【電子書籍】[ Dirk P. Kroese ] 楽天Kobo電子書籍ストア	＜p＞"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" ＜strong＞-Nicholas Hoell, University of Toronto＜/strong＞＜/p＞＜p＞＜em＞"This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear, and the text logically builds up regularization, classification, and decision trees. Compared to its probable competitors, it carves out a unique niche.＜/em＞＜strong＞-Adam Loy, Carleton College＜/strong＞＜/p＞＜p＞The purpose of ＜em＞＜strong＞Data Science and Machine Learning: Mathematical and Statistical Methods＜/strong＞＜/em＞ is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.＜/p＞＜p＞＜strong＞Key Features:＜/strong＞＜/p＞＜ul＞＜li＞Focuses on mathematical understanding.＜/li＞＜li＞Presentation is self-contained, accessible, and comprehensive.＜/li＞＜li＞Extensive list of exercises and worked-out examples.＜/li＞＜li＞Many concrete algorithms with Python code.＜/li＞＜li＞Full color throughout.＜/li＞＜/ul＞＜p＞Further Resources can be found on the authors website: github.com/DSML-book/Lectures＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	15,356円
Statistical Mechanics and Applications in Condensed Matter【電子書籍】[ Carlo Di Castro ] 楽天Kobo電子書籍ストア	＜p＞This innovative and modular textbook combines classical topics in thermodynamics, statistical mechanics and many-body theory with the latest developments in condensed matter physics research. Written by internationally renowned experts and logically structured to cater for undergraduate and postgraduate students and researchers, it covers the underlying theoretical principles and includes numerous problems and worked examples to put this knowledge into practice. Three main streams provide a framework for the book; beginning with thermodynamics and classical statistical mechanics, including mean field approximation, fluctuations and the renormalization group approach to critical phenomena. The authors then examine quantum statistical mechanics, covering key topics such as normal Fermi and Luttinger liquids, superfluidity and superconductivity. Finally, they explore classical and quantum kinetics, Anderson localization and quantum interference, and disordered Fermi liquids. Unique in providing a bridge between thermodynamics and advanced topics in condensed matter, this textbook is an invaluable resource to all students of physics.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,079円
Operation Barbarossa the Complete Organisational and Statistical Analysis, and Military Simulation, Volume IIA【電子書籍】[ Nigel Askey ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Operation Barbarossa: the Complete Organisational and Statistical Analysis, and Military Simulation＜/em＞ includes full analyses of the Axis and Soviet armed-forces organisation, weapons, equipment, personnel, transport, logistics, war-production, mobilisation and replacements during 1941. Uniquely, the work employs a sophisticated military simulation methodology extending from the tactical to the strategic level, and applies this methodology to each of the belligerents.＜/p＞＜p＞Volume IIA is concerned with the Wehrmacht. All the significant German weapon systems and combat squads used in the campaign are analysed using the quantitative methodology detailed in Volume I,along with the contextual history. An assessment of each weapon system’s inherent ‘combat power’ is provided, as well as attributes such as the relative anti-tank, anti-personnel and anti-aircraft values. Volume IIA then focuses on the detailed Kriegstarkenachweisungen (KStN, or TOE) for German land units (including those in the West), as well as the unit’s actual organisation and equipment. All significant units in the German Army, Waffen SS, Luftwaffe and security forces are included; ranging from the largest panzer divisions, down to small anti-aircraft companies, military-police units, Landesschutzen battalions, and rail-road and construction companies. In all cases the data is presented in detailed tables, using the weapon systems and combat squads previously analysed.＜/p＞＜p＞＜em＞Operation Barbarossa: the Complete Organisational and Statistical Analysis, and Military Simulation＜/em＞ collates an immense amount of information from many sources, and presents it with contextual history and analyses. The professional researcher or amateur scholar is provided with a comprehensive data source, containing the details of all the armed forces involved on the East-Front during 1941, as well as the relevant economic and logistical support. The complete work represents the most accurate, advanced and comprehensive quantitative analysis yet, of the East-Front campaign. Currently no other single work provides a comparable reference on the actual Soviet and Axis land, air and naval forces involved in what was the most decisive campaign of WWII.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,264円
STATISTICAL MECHANICS: PRINCIPLES AND SE [ TERRELL L. HILL ] 楽天ブックス	TERRELL L. HILL DOVER PUBLICATIONS INC (USA).1987 English アメリカ合衆国 ISBN：9780486653907 洋書 Computers & Science（コンピューター＆科学） Science	3,643円
Molecular Driving Forces Statistical Thermodynamics in Biology, Chemistry, Physics, and Nanoscience【電子書籍】[ Ken Dill ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Molecular Driving Forces＜/em＞, Second Edition E-book is an introductory statistical thermodynamics text that describes the principles and forces that drive chemical and biological processes. It demonstrates how the complex behaviors of molecules can result from a few simple physical processes, and how simple models provide surprisingly accurate insights into the workings of the molecular world.＜/p＞＜p＞Widely adopted in its First Edition, ＜em＞Molecular Driving Forces＜/em＞ is regarded by teachers and students as an accessible textbook that illuminates underlying principles and concepts. The Second Edition includes two brand new chapters: (1) "Microscopic Dynamics" introduces single molecule experiments; and (2) "Molecular Machines" considers how nanoscale machines and engines work. "The Logic of Thermodynamics" has been expanded to its own chapter and now covers heat, work, processes, pathways, and cycles. New practical applications, examples, and end-of-chapter questions are integrated throughout the revised and updated text, exploring topics in biology, environmental and energy science, and nanotechnology. Written in a clear and reader-friendly style, the book provides an excellent introduction to the subject for novices while remaining a valuable resource for experts.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	24,036円
Spatial Analysis Along Networks Statistical and Computational Methods【電子書籍】[ Atsuyuki Okabe ] 楽天Kobo電子書籍ストア	＜p＞In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation.＜/p＞＜p＞Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET.＜/p＞＜p＞Spatial Analysis Along Networks:＜/p＞＜ul＞＜li＞＜p＞Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order.＜/p＞＜/li＞＜li＞＜p＞Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics.＜/p＞＜/li＞＜li＞＜p＞Dedicates a separate chapter to each of the major techniques involved.＜/p＞＜/li＞＜li＞＜p＞Demonstrates the practicalities of undertaking the tests described in the book, using a GIS.＜/p＞＜/li＞＜li＞＜p＞Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book.＜/p＞＜/li＞＜/ul＞＜p＞Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	15,130円
Statistical Thermodynamics【電子書籍】[ Erwin Schrodinger ] 楽天Kobo電子書籍ストア	＜p＞In this concise volume, one of the founder of quantum mechanics and one of the greatest theoretical physicists of the century (Nobel laureate, 1933) attempts to develop a simple, unified standard method of dealing with all cases of statistical thermodynamics (classical, quantum, Bose-Einstein, Fermi-Dirac, etc.)＜br /＞ The level of discussion is relatively advanced. As Professor Schr?dinger remarks in the Introduction: "It is not a first introduction for newcomers to the subject, but rather a 'repetitorium.' The treatment of those topics which are to be found in every one of a hundred text-books is severely condensed; on the other hand, vital points which are usually passed over in all but the large monographs (such as Fowler's and Tolman's) are dealt with at greater level."＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,329円
An Introduction to Statistical Learning with Applications in R【電子書籍】[ Gareth James ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞An Introduction to Statistical Learning＜/strong＞ provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.＜/p＞＜p＞Two of the authorsco-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. ＜strong＞An Introduction to Statistical Learning＜/strong＞ covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,900円
Statistical Analysis with R For Dummies【電子書籍】[ Joseph Schmuller ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Understanding the world of R programming and analysis has never been easier＜/strong＞＜/p＞＜p＞Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to ＜em＞Statistical Analysis with R For Dummies＜/em＞, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addressesーas well as step-by-step guidance that shows you exactly how to implement them using R programming.＜/p＞＜p＞People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. ＜em＞Statistical Analysis with R For Dummies＜/em＞ enables you to perform these analyses and to fully understand their implications and results.＜/p＞＜ul＞＜li＞Gets you up to speed on the #1 analytics/data science software tool＜/li＞＜li＞Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling＜/li＞＜li＞Shows you how R offers intel from leading researchers in data science, free of charge＜/li＞＜li＞Provides information on using R Studio to work with R＜/li＞＜/ul＞＜p＞Get ready to use R to crunch and analyze your dataーthe fast and easy way!＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,692円
統計的な？数字に騙されないための10の視点 STATISTICAL【電子書籍】[ アンソニー・ルーベン ] 楽天Kobo電子書籍ストア	＜p＞経済成長率、有効求人倍率など公的な発表から、メディアごとにまちまちな内閣支持率、はたまた街の商店の割引率まで、生活の中で目にする様々な「数字」。しかし、その数字は真実でしょうか？統計データや世論調査などに潜む、私たちを騙そうとするもっともらしい数字の真偽を見抜くために必要な視点を、英BBCで初めて統計部長を務め、現在はファクトチェックのトップとして活躍する著者が、痛快かつ明快に解説します。＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,760円
Statistical Methods for Organizational Research Theory and Practice【電子書籍】[ Chris Dewberry ] 楽天Kobo電子書籍ストア	＜p＞This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis.Covering everything from introductory descriptive statistics to advanced＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,613円