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商品	説明	価格
Introduction to WinBUGS for Ecologists Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses【電子書籍】[ Marc K?ry ] 楽天Kobo電子書籍ストア	＜p＞Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. - Introduction to the essential theories of key models used by ecologists - Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS - Provides every detail of R and WinBUGS code required to conduct all analyses - Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises)＜/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。	5,705円
洋書 Springer Paperback, Modelling Operational Risk Using Bayesian Inference Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	27,581円
Bayesian Demographic Estimation and Forecasting【電子書籍】[ John Bryant ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Bayesian Demographic Estimation and Forecasting＜/strong＞ presents three statistical frameworks for modern demographic estimation and forecasting. The frameworks draw on recent advances in statistical methodology to provide new tools for tackling challenges such as disaggregation, measurement error, missing data, and combining multiple data sources. The methods apply to single demographic series, or to entire demographic systems. The methods unify estimation and forecasting, and yield detailed measures of uncertainty.＜/p＞＜p＞The book assumes minimal knowledge of statistics, and no previous knowledge of demography. The authors have developed a set of R packages implementing the methods. Data and code for all applications in the book are available on www.bdef-book.com.＜/p＞＜p＞"This book will be welcome for the scientific community of forecasters…as it presents a new approach which has already given important results and which, in my opinion, will increase its importance in the future." ~Daniel Courgeau, Institut national d'?tudes d?mographiques＜/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。	10,613円
Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing【電子書籍】楽天Kobo電子書籍ストア	＜p＞The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm.＜/p＞＜p＞From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications.＜/p＞＜p＞The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.＜/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。	22,504円
Bayesian Modeling in Bioinformatics【電子書籍】楽天Kobo電子書籍ストア	＜p＞Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and c＜/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。	14,320円
Bayes Rules! An Introduction to Applied Bayesian Modeling【電子書籍】[ Alicia A. Johnson ] 楽天Kobo電子書籍ストア	＜p＞An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, ＜strong＞Bayes Rules!: An Introduction to Applied Bayesian Modeling＜/strong＞ brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, the book is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. the book assumes that readers are familiar with the content covered in a typical undergraduate-level introductory statistics course. Readers will also, ideally, have some experience with undergraduate-level probability, calculus, and the R statistical software. Readers without this background will still be able to follow along so long as they＜br /＞ are eager to pick up these tools on the fly as all R code is provided.Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum.＜/p＞＜p＞＜strong＞Features＜/strong＞＜/p＞＜p＞? Utilizes data-driven examples and exercises.＜/p＞＜p＞? Emphasizes the iterative model building and evaluation process.＜/p＞＜p＞? Surveys an interconnected range of multivariable regression and classification models.＜/p＞＜p＞? Presents fundamental Markov chain Monte Carlo simulation.＜/p＞＜p＞? Integrates R code, including RStan modeling tools and the bayesrules package.＜/p＞＜p＞? Encourages readers to tap into their intuition and learn by doing.＜/p＞＜p＞? Provides a friendly and inclusive introduction to technical Bayesian concepts.＜/p＞＜p＞? Supports Bayesian applications with foundational Bayesian theory.＜/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。	14,656円
Bayesian Inference of State Space Models Kalman Filtering and Beyond【電子書籍】[ Kostas Triantafyllopoulos ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Bayesian Inference of State Space Models: Kalman Filtering and Beyond＜/em＞ offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The celebrated Kalman filter, with its numerous extensions, takes centre stage in the book. Univariate and multivariate models, linear Gaussian, non-linear and non-Gaussian models are discussed with applications to signal processing, environmetrics, economics and systems engineering.＜/p＞＜p＞Over the past years there has been a growing literature on Bayesian inference of state space models, focusing on multivariate models as well as on non-linear and non-Gaussian models. The availability of time series data in many fields of science and industry on the one hand, and the development of low-cost computational capabilities on the other, have resulted in a wealth of statistical methods aimed at parameter estimation and forecasting. This book brings together many of these methods, presenting an accessible and comprehensive introduction to state space models. A number of data sets from different disciplines are used to illustrate the methods and show how they are applied in practice. The R package BTSA, created for the book, includes many of the algorithms and examples presented. The book is essentially self-contained and includes a chapter summarising the prerequisites in undergraduate linear algebra, probability and statistics.＜/p＞＜p＞An up-to-date and complete account of state space methods, illustrated by real-life data sets and R code, this textbook will appeal to a wide range of students and scientists, notably in the disciplines of statistics, systems engineering, signal processing, data science, finance and econometrics. With numerous exercises in each chapter, and prerequisite knowledge conveniently recalled, it is suitable for upper undergraduate and graduate courses.＜/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。	9,723円
Bayesian Signal Processing Classical, Modern, and Particle Filtering Methods【電子書籍】[ James V. Candy ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Presents the Bayesian approach to statistical signal processing for a variety of useful model sets＜/strong＞＜/p＞＜p＞This book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on “Sequential Bayesian Detection,” a new section on “Ensemble Kalman Filters” as well as an expansion of Case Studies that detail Bayesian solutions for a variety of applications. These studies illustrate Bayesian approaches to real-world problems incorporating detailed particle filter designs, adaptive particle filters and sequential Bayesian detectors. In addition to these major developments a variety of sections are expanded to “fill-in-the gaps” of the first edition. Here metrics for particle filter (PF) designs with emphasis on classical “sanity testing” lead to ensemble techniques as a basic requirement for performance analysis. The expansion of information theory metrics and their application to PF designs is fully developed and applied. These expansions of the book have been updated to provide a more cohesive discussion of Bayesian processing with examples and applications enabling the comprehension of alternative approaches to solving estimation/detection problems.＜/p＞＜p＞The second edition of ＜em＞Bayesian Signal Processing features＜/em＞:＜/p＞＜ul＞＜li＞“Classical” Kalman filtering for linear, linearized, and nonlinear systems; “modern” unscented and ensemble Kalman filters: and the “next-generation” Bayesian particle filters＜/li＞＜li＞Sequential Bayesian detection techniques incorporating model-based schemes for a variety of real-world problems＜/li＞＜li＞Practical Bayesian processor designs including comprehensive methods of performance analysis ranging from simple sanity testing and ensemble techniques to sophisticated information metrics＜/li＞＜li＞New case studies on adaptive particle filtering and sequential Bayesian detection are covered detailing more Bayesian approaches to applied problem solving＜/li＞＜li＞MATLAB? notes at the end of each chapter help readers solve complex problems using readily available software commands and point out other software packages available＜/li＞＜li＞Problem sets included to test readers’ knowledge and help them put their new skills into practice Bayesian＜/li＞＜/ul＞＜p＞＜em＞Signal Processing, Second Edition＜/em＞ is written for all students, scientists, and engineers who investigate and apply signal processing to their everyday problems.＜/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。	19,335円
The Contribution of Young Researchers to Bayesian Statistics Proceedings of BAYSM2013【電子書籍】楽天Kobo電子書籍ストア	＜p＞The first Bayesian Young Statisticians Meeting, BAYSM 2013, has provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and post-docs dealing with Bayesian statistics to connect with the Bayesian community at large, exchange ideas, and network with scholars working in their field. The Workshop, which took place June 5th and 6th 2013 at CNR-IMATI, Milan, has promoted further research in all the fields where Bayesian statistics may be employed under the guidance of renowned plenary lecturers and senior discussants. A selection of the contributions to the meeting and the summary of one of the plenary lectures compose this volume.＜/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。	18,231円
Missing Data in Longitudinal Studies Strategies for Bayesian Modeling and Sensitivity Analysis【電子書籍】[ Michael J. Daniels ] 楽天Kobo電子書籍ストア	＜p＞Drawing from the authors' own work and from the most recent developments in the field, ＜strong＞Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis＜/strong＞ describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the authors employ＜/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。	21,903円
【中古】【輸入品・未使用】An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics) ムジカ＆フェリーチェ楽天市場店	【中古】【輸入品・未使用】An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)【メーカー名】Springer【メーカー型番】【ブランド名】Springer【商品説明】An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル・返品はお受けしておりませんのでご了承下さい。	37,104円
Interdisciplinary Bayesian Statistics EBEB 2014【電子書籍】楽天Kobo電子書籍ストア	＜p＞Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.＜/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。	12,154円
Bayesian Statistics An Introduction【電子書籍】[ Peter M. Lee ] 楽天Kobo電子書籍ストア	＜p＞Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.＜/p＞＜p＞This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples.＜/p＞＜p＞＜em＞This edition:＜/em＞＜/p＞＜ul＞＜li＞Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS.＜/li＞＜li＞Presents significant new material on recent techniques such as Bayesian importance sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible Jump Markov Chain Monte Carlo (RJMCMC).＜/li＞＜li＞Provides extensive examples throughout the book to complement the theory presented.＜/li＞＜li＞Accompanied by a supporting website featuring new material and solutions.＜/li＞＜/ul＞＜p＞More and more students are realizing that they need to learn Bayesian statistics to meet their academic and professional goals. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students.＜/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。	9,192円
Bayesian Psychometric Modeling【電子書籍】[ Roy Levy ] 楽天Kobo電子書籍ストア	＜p＞＜em＞A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment＜/em＞＜/p＞＜p＞＜strong＞Bayesian Psychometric Modeling＜/strong＞ presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.＜/p＞＜p＞Adopting a Bayesian approach can aid in unifying seemingly disparateーand sometimes conflictingーideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.＜/p＞＜p＞The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.＜/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。	10,949円
洋書 Springer Paperback, Bayesian Statistics in Actuarial Science: With Emphasis on Credibility (Huebner International Series on Risk, Insurance and Economic Security (15)) Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	41,876円
洋書 OXFORD UNIVERSITY PRESS paperback Book, The Oxford Handbook of Bayesian Econometrics (Oxford Handbooks) Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	16,866円
Likelihood and Bayesian Inference With Applications in Biology and Medicine【電子書籍】[ Leonhard Held ] 楽天Kobo電子書籍ストア	＜p＞This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.＜/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。	6,928円
Fundamentals of Nonparametric Bayesian Inference【電子書籍】[ Subhashis Ghosal ] 楽天Kobo電子書籍ストア	＜p＞Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past twenty years to synthesize all aspects of Bayesian nonparametrics, from prior construction to computation and large sample behavior of posteriors. Because understanding the behavior of posteriors is critical to selecting priors that work, the large sample theory is developed systematically, illustrated by various examples of model and prior combinations. Precise sufficient conditions are given, with complete proofs, that ensure desirable posterior properties and behavior. Each chapter ends with historical notes and numerous exercises to deepen and consolidate the reader's understanding, making the book valuable for both graduate students and researchers in statistics and machine learning, as well as in application areas such as econometrics and biostatistics.＜/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。	14,827円
Bayesian Network Modeling Uncertainty in Robotics Systems【電子書籍】[ Fouad Sabry ] 楽天Kobo電子書籍ストア	＜p＞1: Bayesian network: Delve into the foundational concepts of Bayesian networks and their applications.＜/p＞＜p＞2: Statistical model: Explore the framework of statistical models crucial for data interpretation.＜/p＞＜p＞3: Likelihood function: Understand the significance of likelihood functions in probabilistic reasoning.＜/p＞＜p＞4: Bayesian inference: Learn how Bayesian inference enhances decisionmaking processes with data.＜/p＞＜p＞5: Pattern recognition: Investigate methods for recognizing patterns in complex data sets.＜/p＞＜p＞6: Sufficient statistic: Discover how sufficient statistics simplify data analysis while retaining information.＜/p＞＜p＞7: Gaussian process: Examine Gaussian processes and their role in modeling uncertainty.＜/p＞＜p＞8: Posterior probability: Gain insights into calculating posterior probabilities for informed predictions.＜/p＞＜p＞9: Graphical model: Understand the structure and utility of graphical models in representing relationships.＜/p＞＜p＞10: Prior probability: Study the importance of prior probabilities in Bayesian reasoning.＜/p＞＜p＞11: Gibbs sampling: Learn Gibbs sampling techniques for efficient statistical sampling.＜/p＞＜p＞12: Maximum a posteriori estimation: Discover MAP estimation as a method for optimizing Bayesian models.＜/p＞＜p＞13: Conditional random field: Explore the use of conditional random fields in structured prediction.＜/p＞＜p＞14: Dirichletmultinomial distribution: Understand the Dirichletmultinomial distribution in categorical data analysis.＜/p＞＜p＞15: Graphical models for protein structure: Investigate applications of graphical models in bioinformatics.＜/p＞＜p＞16: Exponential family random graph models: Delve into exponential family random graphs for network analysis.＜/p＞＜p＞17: Bernstein?von Mises theorem: Learn the implications of the Bernstein?von Mises theorem in statistics.＜/p＞＜p＞18: Bayesian hierarchical modeling: Explore hierarchical models for analyzing complex data structures.＜/p＞＜p＞19: Graphoid: Understand the concept of graphoids and their significance in dependency relations.＜/p＞＜p＞20: Dependency network (graphical model): Investigate dependency networks in graphical model frameworks.＜/p＞＜p＞21: Probabilistic numerics: Examine probabilistic numerics for enhanced computational methods.＜/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。	400円
Bayesian Approaches in Stochastic Frontier Analysis with R: Models, Methodologies, and Applications【電子書籍】[ Nastaran Najkar ] 楽天Kobo電子書籍ストア	＜p＞"Bayesian Stochastic Frontier Models with Dynamic Factors and Endogeneity Correction" is an essential resource for researchers and practitioners interested in advanced statistical techniques for efficiency and productivity analysis. This comprehensive guide combines theoretical insights with practical applications, including detailed R code, to equip readers with the tools needed to implement cutting-edge Bayesian methodologies.＜/p＞＜p＞The book begins by exploring Bayesian Stochastic Frontier Models, focusing on the integration of dynamic factors and endogeneity correction. This foundational section provides a thorough understanding of how to address dynamic inefficiencies and endogenous variables, which are critical for accurate productivity assessments.＜/p＞＜p＞The text then delves into the application of Bayesian Stochastic Frontier Analysis in the agricultural sector, addressing the unique challenges of measuring productivity and efficiency in this field. By tackling issues of endogeneity and inefficiency, the book offers valuable insights for optimizing agricultural practices and informing policy decisions. Practical R code examples guide readers through the implementation of these methods.＜/p＞＜p＞Next, the book introduces Bayesian Hierarchical Models designed to account for dynamic changes in Research and Development (R&D) efficiency. By incorporating hierarchical structures and dynamic elements, these models provide a nuanced perspective on the evolution of R&D efficiency over time. The inclusion of practical R code facilitates the application and analysis of these models, making them accessible to researchers and practitioners alike.＜/p＞＜p＞Building on the discussion of hierarchical models, the book presents Bayesian Hierarchical Models with dynamic lag weights. These models allow for a flexible representation of time lags in hierarchical data structures, enhancing the accuracy of predictions and inferences across various fields, including economics, finance, and social sciences. Detailed R code examples demonstrate the application of these models to real-world data, ensuring that readers can effectively implement these techniques in their own work.＜/p＞＜p＞The book also addresses the challenges of modeling environments characterized by volatility and uncertainty. By introducing Stochastic Frontier Models with time-varying conditional variances, the text provides a robust framework for efficiency analysis. Allowing variances to change over time, these models offer a more realistic and adaptable approach to efficiency assessment. Comprehensive R code examples are included, making this section an invaluable resource for both researchers and policymakers.＜/p＞＜p＞In summary, "Bayesian Stochastic Frontier Models with Dynamic Factors and Endogeneity Correction" is a comprehensive guide that equips readers with advanced Bayesian methodologies to enhance the accuracy and reliability of efficiency measurements. By addressing endogeneity, incorporating dynamic factors, and utilizing hierarchical models, this book provides invaluable insights for optimizing productivity across various domains. The practical R code examples included throughout the text ensure that readers can directly apply these advanced techniques to their own data, bridging the gap between theoretical development and practical application.＜/p＞＜p＞Perfect for academics, industry professionals, and policymakers, this book offers the tools and knowledge needed to tackle the complexities of efficiency analysis and productivity measurement in various fields. Enhance your analytical capabilities and stay at the forefront of research with "Bayesian Stochastic Frontier Models with Dynamic Factors and Endogeneity Correction."＜/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。	3,369円
Bayesian Mediation Analysis using R【電子書籍】[ Atanu Bhattacharjee ] 楽天Kobo電子書籍ストア	＜p＞Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors.＜br /＞ With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields.＜/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。	11,792円
【中古】【未使用・未開封品】Bayesian Demographic Estimation and Forecasting (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) AJIMURA-SHOP	【中古】【未使用・未開封品】Bayesian Demographic Estimation and Forecasting (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)【メーカー名】【メーカー型番】【ブランド名】Chapman and Hall/CRC Economics, Applied, Probability & Statistics, Planning & Forecasting, Demography, Amazon Student ポイント還元(洋書), Amazonアプリキャンペーン対象商品(洋書), Taylor & Francis, 洋書（アダルト除く） Bryant, John: Author; Zhang, Junni L.: Author【商品説明】Bayesian Demographic Estimation and Forecasting (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)【注意】こちらは輸入品となります。当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは当店海外ショップで一般の方から買取した未使用・未開封品です。買取した為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承ください。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、当店海外倉庫から当店日本倉庫を経由しお届けしますので10〜30営業日程度でのお届けとなります。4、入金確認⇒前払い決済をご選択の場合、ご入金確認後、配送手配を致します。5、出荷⇒配送準備が整い次第、出荷致します。配送業者、追跡番号等の詳細をメール送信致します。6、到着⇒出荷後、1〜3日後に商品が到着します。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル・返品はお受けしておりませんのでご了承下さい。	16,125円
Bayesian Analysis of Infectious Diseases COVID-19 and Beyond【電子書籍】[ Lyle D. Broemeling ] 楽天Kobo電子書籍ストア	＜p＞Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics.＜/p＞＜p＞＜strong＞Features:＜/strong＞＜/p＞＜ul＞＜li＞Represents the first book on infectious disease from a Bayesian perspective.＜/li＞＜li＞Employs WinBUGS and R to generate observations that follow the course of contagious maladies.＜/li＞＜li＞Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919.＜/li＞＜li＞Compares standard non-Bayesian and Bayesian inferences.＜/li＞＜li＞Offers the R and WinBUGS code on at www.routledge.com/9780367633868＜/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。	12,635円
Bayesian Approaches in Oncology Using R and OpenBUGS【電子書籍】[ Atanu Bhattacharjee ] 楽天Kobo電子書籍ストア	＜p＞Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the book begins with a self-contained introduction to R that lays the foundation for later chapters.＜/p＞＜p＞Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most of them do cover the objective, the fact remains that data analysis can not be performed without actually doing it, and this means using dedicated statistical software. There are several software packages, all with their specific objective. Finally, all packages are free to use, are versatile with problem-solving, and are interactive with R and OpenBUGS.＜/p＞＜p＞This book continues to cover a range of techniques related to oncology that grow in statistical analysis. It intended to make a single source of information on Bayesian statistical methodology for oncology research to cover several dimensions of statistical analysis. The book explains data analysis using real examples and includes all the R and OpenBUGS codes necessary to reproduce the analyses. The idea is to overall extending the Bayesian approach in oncology practice. It presents four sections to the statistical application framework:＜/p＞＜ul＞＜li＞＜/li＞＜li＞Bayesian in Clinical Research and Sample Size Calcuation＜/li＞＜li＞Bayesian in Time-to-Event Data Analysis＜/li＞＜li＞Bayesian in Longitudinal Data Analysis＜/li＞＜li＞Bayesian in Diagnostics Test Statistics＜/li＞＜/ul＞＜p＞This book is intended as a first course in bayesian biostatistics for oncology students. An oncologist can find useful guidance for implementing bayesian in research work. It serves as a practical guide and an excellent resource for learning the theory and practice of bayesian methods for the applied statistician, biostatistician, and data scientist.＜/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。	11,792円
Introduction to Bayesian Statistics【電子書籍】[ William M. Bolstad ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞"...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods."＜/strong＞＜/p＞＜p＞There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. In this third Edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatment of introductory statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for discrete random variables, binomial proportions, Poisson, and normal means, and simple linear regression. In addition, more advanced topics in the field are presented in four new chapters: Bayesian inference for a normal with unknown mean and variance; Bayesian inference for a Multivariate Normal mean vector; Bayesian inference for the Multiple Linear Regression Model; and Computational Bayesian Statistics including Markov Chain Monte Carlo. The inclusion of these topics will facilitate readers' ability to advance from a minimal understanding of Statistics to the ability to tackle topics in more applied, advanced level books. Minitab macros and R functions are available on the book's related website to assist with chapter exercises. ＜em＞Introduction to Bayesian Statistics, Third Edition＜/em＞ also features:＜/p＞＜ul＞＜li＞Topics including the Joint Likelihood function and inference using independent Jeffreys priors and join conjugate prior＜/li＞＜li＞The cutting-edge topic of computational Bayesian Statistics in a new chapter, with a unique focus on Markov Chain Monte Carlo methods＜/li＞＜li＞Exercises throughout the book that have been updated to reflect new applications and the latest software applications＜/li＞＜li＞Detailed appendices that guide readers through the use of R and Minitab software for Bayesian analysis and Monte Carlo simulations, with all related macros available on the book's website＜/li＞＜/ul＞＜p＞＜em＞Introduction to Bayesian Statistics, Third Edition＜/em＞ is a textbook for upper-undergraduate or first-year graduate level courses on introductory statistics course with a Bayesian emphasis. It can also be used as a reference work for statisticians who require a working knowledge of Bayesian statistics.＜/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。	19,018円
Statistics Study Guide: Permutation, Random Variable, Probability Axioms, Bayesian Probability, Decision Theory, Chebyshev's Inequality, Chi-Square & Student's T-Distribution, Sampling, Correlation (Mobi Study Guides)【電子書籍】[ MobileReference ] 楽天Kobo電子書籍ストア	＜p＞Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.FEATURES:- Written in concise and clear English - Illustrated with graphs and diagrams - Use your down time to prepare for an exam. - Includes Glossary of probability and statistics TABLE OF CONTENTS:Introduction: History Conceptual overview Statistical methods Specialized disciplines SoftwareProbability: Event Statistical Independence Interpretations Classical definition Permutation Combination Random element Random variable Random VectorRules of Probability: Probability Axioms Odds Probability Theory Bayesian ProbabilityExpectations and Decisions: Mathematical Expectation Decision Theory Chebyshev's InequalityProbability Distribution: Discrete Probability Distribution Bernoulli Distribution Binomial Distribution Hypergeometric Distribution Poisson Distribution Multinomial Distribution Standard Deviation Chi-square Distribution Student's t-DistributionNormal Distribution: Continuous Probability Distribution Normal Distribution Infinite DivisibilitySampling: Simple Random Sample Sampling Distribution Central Limit TheoremTests of Hypotheses: Null Hypothesis Statistical Hypothesis Testing Pearson's Chi-square test Student's t-test Z-test General Linear Model ANOVA Generating Function Non-parametric StatisticsRegression: Regression Analysis Linear Model Linear Regression Nonlinear Regression Kernel Regression Robust RegressionCorrelation: Pearson's product-moment coefficient Non-parametric correlation coefficients Other measures of dependence among random variables Copulas and correlation Correlation matricesApplications: Borel algebra Cumulative Distribution Function Probability Mass Function＜/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。	1,346円
Current Trends in Bayesian Methodology with Applications【電子書籍】楽天Kobo電子書籍ストア	＜p＞Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples. This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses.＜/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。	14,320円
Bayesian Adaptive Methods for Clinical Trials【電子書籍】[ Scott M. Berry ] 楽天Kobo電子書籍ストア	＜p＞Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adapti＜/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。	10,108円
Bayesian Reasoning and Machine Learning Barber， David 参考書専門店ブックスドリーム	【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。【最短翌日到着】正午12時まで（日曜日は午前9時まで）の注文は当日発送（土日祝も発送）。関東・関西・中部・中国・四国・九州地方は翌日お届け、東北地方・新潟県・北海道・沖縄県は翌々日にお届けします。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号（通称：T番号・登録番号）を印字した納品書（明細書）を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードしていただくこともできます（宛名はご希望のものを入力していただけます）。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。■商品名■Bayesian Reasoning and Machine Learning Barber， David■出版社■Cambridge University Press■著者■Barber David■発行年■2012/2/2■ISBN10■0521518148■ISBN13■9780521518147■コンディションランク■可コンディションランク説明ほぼ新品：未使用に近い状態の商品非常に良い：傷や汚れが少なくきれいな状態の商品良い：多少の傷や汚れがあるが、概ね良好な状態の商品(中古品として並の状態の商品)可：傷や汚れが目立つものの、使用には問題ない状態の商品■コンディション詳細■当商品はコンディション「可」の商品となります。多少の書き込みが有る場合や使用感、傷み、汚れ、記名・押印の消し跡・切り取り跡、箱・カバー欠品などがある場合もございますが、使用には問題のない状態です。水濡れ防止梱包の上、迅速丁寧に発送させていただきます。【発送予定日について】正午12時まで（日曜日は午前9時まで）のご注文は当日に発送いたします。正午12時（日曜日は午前9時）以降のご注文は翌日に発送いたします（土曜日・日曜日・祝日も発送しています）。※土曜日・祝日も正午12時までのご注文は当日に発送いたします。※年末年始（12/31〜1/3）は除きます。(例)・月曜0時〜12時までのご注文：月曜日に発送・月曜12時〜24時までのご注文：火曜日に発送・土曜0時〜12時までのご注文：土曜日に発送・土曜12時〜24時のご注文：日曜日に発送・日曜0時〜9時までのご注文：日曜日に発送・日曜9時〜24時のご注文：月曜日に発送【送付方法について】ネコポス、宅配便またはレターパックでの発送となります。東北地方・新潟県・北海道・沖縄県・離島以外は、発送翌日に到着します。東北地方・新潟県・北海道・沖縄県・離島は、発送後2日での到着となります。商品説明と著しく異なる点があった場合や異なる商品が届いた場合は、到着後30日間は無条件で着払いでご返品後に返金させていただきます。メールまたはご注文履歴からご連絡ください。	11,951円
洋書 Paperback, Bayesian Computation with R: Second Edition (Use R!) Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	12,064円