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statistical inference

Statistical Hypothesis Testing in Context: Volume 52 Reproducibility, Inference, and Science【電子書籍】 Michael P. Fay

Statistical Inference for Piecewise-deterministic Markov Processes【電子書籍】

【中古】Vol.VI Statistical inference based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）

In All Likelihood: Statistical Modelling and Inference Using Likelihood Pawitan，Yudi

Applied Statistical Inference with MINITAB , Second Edition【電子書籍】 Sally A. Lesik

Fundamental Statistical Inference A Computational Approach【電子書籍】 Marc S. Paolella

Recent Advances in System Reliability Signatures, Multi-state Systems and Statistical Inference【電子書籍】

大規模計算時代の統計推論原理と発展 / 原タイトル:Computer Age Statistical Inference 本/雑誌 / BradleyEfron/著 TrevorHastie/著藤澤洋徳/監訳井手剛/監訳井尻善久/〔ほか〕訳

Applied Statistical Inference Likelihood and Bayes【電子書籍】 Leonhard Held

In All Likelihood Statistical Modelling and Inference Using Likelihood【電子書籍】 Yudi Pawitan

Computer Age Statistical Inference Algorithms, Evidence, and Data Science【電子書籍】 Bradley Efron

Fundamentals of Statistical Inference What is the Meaning of Random Error 【電子書籍】 Norbert Hirschauer

（出版社）Cambridge U.P. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science 1冊 978-1-107-14989-2

洋書 Paperback, Model-Free Prediction and Regression: A Transformation-Based Approach to Inference (Frontiers in Probability and the Statistical Sciences)

GARCH Models Structure, Statistical Inference and Financial Applications【電子書籍】 Christian Francq

Advances in Statistical Bioinformatics Models and Integrative Inference for High-Throughput Data【電子書籍】

Statistical Inference in Stochastic Processes【電子書籍】

Statistical Hypothesis Testing in Context: Volume 52 Reproducibility, Inference, and Science【電子書籍】[ Michael P. Fay ]

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価格￥6,942

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＜p＞Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated ...

Statistical Inference Under Mixture Models【電子書籍】[ Jiahua Chen ]

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価格￥15,800

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＜p＞This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations.＜/p＞＜p＞At the same time, many researchers find most theories and techniques necessary for the development of various statistical methods, without chasing after one set of research papers, after another. Even though the book emphasizes the theory, it provides accessible numerical tools for data analysis. Readers with strength in developing statistical software, may find it useful.＜/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。

Statistical Inference for Piecewise-deterministic Markov Processes【電子書籍】

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価格￥20,001

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＜p＞Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, networks, finance... Such processes are defined by a deterministic motion punctuated by random jumps at random times, and offer simple yet challenging models to study. Nevertheless, the issue of statistical estimation of the parameters ruling the jump mechanism is far from trivial.＜/p＞＜p＞Responding to new developments in the field as well as to current research interests and needs, Statistical inference for piecewise-deterministic Markov processes offers a detailed and comprehensive survey of state-of-the-art results. It covers a wide range of general processes as well as applied models. The present book also dwells on statistics in the context of Markov chains, since piecewise-deterministic Markov processes are characterized by an embedded Markov chain corresponding to the position of the process right after the jumps.＜/p＞画...

【中古】Vol.VI Statistical inference based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）

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◆◆◆カバーに傷みがあります。カバーに汚れがあります。小口に汚れがあります。迅速・丁寧な発送を心がけております。【毎日発送】商品状態著者名著:吉原健一出版社名三省堂発売日 2015-04-01 ISBN 9784385355924

In All Likelihood: Statistical Modelling and Inference Using Likelihood Pawitan，Yudi

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価格￥8,635

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【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。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。【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頂くこともできます（宛名はご希望のものを入力して頂けます）。■商品名■In All Likelihood: Statistical Modelling and Inference Using Likelihood Pawitan Yudi■出版社■Oxford Univ Pr on Demand■著者■Pawitan， Yudi■発行年■2001/08/30■ISBN10■0198507658■ISBN13■9780198507659■コンディションランク■良い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...

Applied Statistical Inference with MINITAB?, Second Edition【電子書籍】[ Sally A. Lesik ]

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価格￥8,278

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＜p＞Praise for the first edition:＜/p＞＜p＞"One of my biggest complaints when I teach introductory statistics classes is that it takes me most of the semester to get to the good stuffーinferential statistics. The author manages to do this very quickly….if one were looking for a book that efficiently covers basic statistical methodology and also introduces statistical software [this text] fits the bill." -＜strong＞The American Statistician＜/strong＞＜/p＞＜p＞＜em＞＜strong＞Applied Statistical Inference with MINITAB, Second Edition＜/strong＞＜/em＞＜/p＞＜p＞distinguishes itself from other introductory statistics textbooks by focusing on the applications of statistics without compromising mathematical rigor. It presents the material in a seamless step-by-step approach so that readers are first introduced to a topic, given the details of the underlying mathematical foundations along with a detailed description of how to interpret the findings, and are shown how to use the sta...

【中古】Vol.VI Statistical inference based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）

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価格￥5,241

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◆◆◆おおむね良好な状態です。中古商品のため若干のスレ、日焼け、使用感等ある場合がございますが、品質には十分注意して発送いたします。【毎日発送】商品状態著者名著:吉原健一出版社名三省堂発売日 2015-04-01 ISBN 9784385355924

Fundamental Statistical Inference A Computational Approach【電子書籍】[ Marc S. Paolella ]

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価格￥13,944

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＜p＞＜strong＞A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field＜/strong＞＜/p＞＜p＞This clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete derivations of results, discussions, and MATLAB programs for computation. It emphasizes details of the relevance of the material, intuition, and discussions with a view towards very modern statistical inference. In addition to classic subjects associated with mathematical statistics, topics include an intuitive presentation of the (single and double) bootstrap for confidence interval calculations, shrinkage estimation, tail (maximal moment) estimation, and a variety of methods of point estimation besides maximum likelihood, including use of characteristic functions, and indirect inference. Practical examples of all methods are given. Estimation issues associated with the discret...

Recent Advances in System Reliability Signatures, Multi-state Systems and Statistical Inference【電子書籍】

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価格￥18,231

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＜p＞＜em＞Recent Advances in System Reliability＜/em＞ discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference. It describes the latest achievements in these fields, and covers the application of these achievements to reliability engineering practice.＜/p＞＜p＞The chapters cover a wide range of new theoretical subjects and have been written by leading experts in reliability theory and its applications. The topics include: concepts and different definitions of signatures (D-spectra), their properties and applications to reliability of coherent systems and network-type structures; Lz-transform of Markov stochastic process and its application to multi-state system reliability analysis; methods for cost-reliability and cost-availability analysis of multi-state systems; optimal replacement and protection strategy; and statistical inference.＜/p＞＜p＞＜em＞Recent Advances in System Reliability＜/em＞ presents many examples...

大規模計算時代の統計推論原理と発展 / 原タイトル:Computer Age Statistical Inference[本/雑誌] / BradleyEfron/著 TrevorHastie/著藤澤洋徳/監訳井手剛/監訳井尻善久/〔ほか〕訳

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価格￥9,680

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ご注文前に必ずご確認ください＜商品説明＞＜収録内容＞第1部古典的な統計推論(アルゴリズムと推論頻度派的な推論ベイズ派的な推論フィッシャー派的な推論と最尤推定パラメトリックモデルと指数型分布族)第2部コンピュータ時代初期の手法(経験ベイズ法ジェームズ=スタイン推定量とリッジ回帰一般化線形モデルと回帰木生存時間解析とEMアルゴリズムジャックナイフとブートストラップブートストラップ信頼区間交差検証と予測誤差のCp推定客観ベイズ推論とマルコフ連鎖モンテカルロ法戦後の統計推論と方法論)第3部 21世紀の話題(大規模仮説検定と偽発見率疎なモデリングとラッソランダムフォレストとブースティング神経回路網と深層学習サポートベクトルマシンとカーネル法モデル選択後の推論経験ベイズ推定戦略)＜商品詳細＞商品番号：NEOBK-2516502BradleyEfron / Cho TrevorHastie / Cho Fujisawa Hiroshi Isao / Kanyaku Ide Tsuyoshi / Kanyaku Ijiri Yoshihisa / [Hoka] Yaku / Daikibo Keisan Jidai No Tokei Suiron Genri to Hatten / Original Title: Computer Age Statistical Inferenceメディア：本/雑誌発売日：2020/07JAN：9784320114340大規模計算時代の統計...

Applied Statistical Inference Likelihood and Bayes【電子書籍】[ Leonhard Held ]

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価格￥7,900

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＜p＞This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, 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. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesi...

In All Likelihood Statistical Modelling and Inference Using Likelihood【電子書籍】[ Yudi Pawitan ]

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価格￥7,944

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＜p＞Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling. The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With the currently available computing power, examples are not contrived to allow a closed analytical solut...

Computer Age Statistical Inference Algorithms, Evidence, and Data Science【電子書籍】[ Bradley Efron ]

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価格￥8,118

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＜p＞The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future d...

【中古】Vol.VI Statistical inference based on weakly dependent data Weakly Dependent Stochastic Sequences and Their Applications（単行本）

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価格￥5,532

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◆◆◆非常にきれいな状態です。中古商品のため使用感等ある場合がございますが、品質には十分注意して発送いたします。【毎日発送】商品状態著者名著:吉原健一出版社名三省堂発売日 2015-04-01 ISBN 9784385355924

Fundamentals of Statistical Inference What is the Meaning of Random Error?【電子書籍】[ Norbert Hirschauer ]

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価格￥6,076

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＜p＞This book provides a coherent description of foundational matters concerning statistical inference and shows how statistics can help us make inductive inferences about a broader context, based only on a limited dataset such as a random sample drawn from a larger population. By relating those basics to the methodological debate about inferential errors associated with ＜em＞p＜/em＞-values and statistical significance testing, readers are provided with a clear grasp of what statistical inference presupposes, and what it can and cannot do. To facilitate intuition, the representations throughout the book are as non-technical as possible.＜/p＞＜p＞The central inspiration behind the text comes from the scientific debate about good statistical practices and the replication crisis. Calls for statistical reform include an unprecedented methodological warning from the ＜em＞American Statistical Association＜/em＞ in 2016, a special issue “Statistical Inference in the 21st Century:A Wo...

（出版社）Cambridge U.P. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science 1冊 978-1-107-14989-2

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価格￥15,763

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（出版社）Cambridge　U.P. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science 1冊●著者：Efron, Bradley/Hastie, Trevor●シリーズ名：Institute of Mathematical Statistics Monographs●Vol.5●頁数他：492 p.●装丁：Hard●出版社：Cambridge U.P.●発行日：2016/7/20

洋書 Paperback, Model-Free Prediction and Regression: A Transformation-Based Approach to Inference (Frontiers in Probability and the Statistical Sciences)

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価格￥19,235

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GARCH Models Structure, Statistical Inference and Financial Applications【電子書籍】[ Christian Francq ]

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価格￥14,085

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＜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...

Advances in Statistical Bioinformatics Models and Integrative Inference for High-Throughput Data【電子書籍】

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価格￥17,947

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＜p＞Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer ...

Statistical Inference in Stochastic Processes【電子書籍】

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価格￥11,081

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＜p＞Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di＜/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。

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