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Modes of Parametric Statistical Inference - Seymour Geisser#Wesley O. Johnson
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Modes of Parametric Statistical Inference - neues Buch

2006, ISBN: 9780471667261

ID: 865878781

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode´s strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: * Frequentist * Likelihood * Fiducial * Bayesian The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development. The author´s writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing. Statistical inference has mainly dealt with problems of testing and estimation of unknown parameters of probability distributions. This book examines the differing philosophical foundations of the statistical modes of parametric inference, and discusses their strengths and weaknesses. It stresses the theoretical aspects rather than the methodology and application. Buch (fremdspr.) gebundene Ausgabe 10.02.2006 Bücher>Fremdsprachige Bücher>Englische Bücher, John Wiley & Sons, .200

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Modes of Parametric Statistical Inference - Seymour Geisser#Wesley O. Johnson
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A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode´s strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: * Frequentist * Likelihood * Fiducial * Bayesian The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development. The author´s writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing. Statistical inference has mainly dealt with problems of testing and estimation of unknown parameters of probability distributions. This book examines the differing philosophical foundations of the statistical modes of parametric inference, and discusses their strengths and weaknesses. It stresses the theoretical aspects rather than the methodology and application. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, John Wiley & Sons

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Modes of Parametric Statistical Inference - Geisser, Seymour / Johnson, Wesley
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Geisser, Seymour / Johnson, Wesley:
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ISBN: 9780471667261

ID: 1569100

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode's strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: * Frequentist * Likelihood * Fiducial * Bayesian The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development. The author's writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing. Modes of Parametric Statistical Inference Geisser, Seymour / Johnson, Wesley, Wiley-Interscience

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Modes of Parametric Statistical Inference - Seymour Geisser; Wesley O. Johnson
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2006, ISBN: 9780471667261

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Modes Of Parametric Statistical Inference Wiley Series In Probability And Statistics - Seymour Geiss
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Details zum Buch
Modes of Parametric Statistical Inference

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode's strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: * Frequentist * Likelihood * Fiducial * Bayesian The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development. The author's writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing.

Detailangaben zum Buch - Modes of Parametric Statistical Inference


EAN (ISBN-13): 9780471667261
ISBN (ISBN-10): 0471667269
Gebundene Ausgabe
Erscheinungsjahr: 2006
Herausgeber: John Wiley & Sons
192 Seiten
Gewicht: 0,490 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 12.01.2007 10:31:11
Buch zuletzt gefunden am 29.11.2017 22:19:44
ISBN/EAN: 0471667269

ISBN - alternative Schreibweisen:
0-471-66726-9, 978-0-471-66726-1


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