Seymour Geisser's Books

Modes of Parametric Statistical Inference

By: Seymour Geisser,Wesley O. Johnson

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Modes of Parametric Statistical Inference

By: Seymour Geisser,Wesley O. Johnson

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.

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Page Count

218

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471743127

ISBN 13

9780471743125

Predictive Inference

By: Seymour Geisser

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Predictive Inference

By: Seymour Geisser

The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.

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Page Count

240

Publisher

CRC Press

Published Date

ISBN 10

1351422308

ISBN 13

9781351422307

Modes of Parametric Statistical Inference

By: Seymour Geisser,Wesley O. Johnson

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Modes of Parametric Statistical Inference

By: Seymour Geisser,Wesley O. Johnson

Average ratings

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Page Count

218

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471743127

ISBN 13

9780471743125

Predictive Inference

By: Seymour Geisser

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Predictive Inference

By: Seymour Geisser

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Page Count

280

Publisher

CRC Press

Published Date

ISBN 10

0412034719

ISBN 13

9780412034718

Statistics in Genetics

By: M.Elizabeth Halloran,Seymour Geisser

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Statistics in Genetics

By: M.Elizabeth Halloran,Seymour Geisser

Though the Genome Project will eventually result in the sequencing of the human genome, as well as the genomes of several other organisms, there will still be a need for good statistics for family studies of complex diseases. The papers in this volume are contributions by some of the leading researchers in the field to the current topics in statistical genetics. One section deals with DNA sequence matching and issues related to forensics, while another deals with statistical problems of modeling phylogenies and inferential difficulties related to the complex tree structures produced, as well as the method of coalescence.

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Page Count

268

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387988289

ISBN 13

9780387988283

Book's by Seymour Geisser

Modes of Parametric Statistical Inference

Modes of Parametric Statistical Inference

Predictive Inference

Predictive Inference

Modes of Parametric Statistical Inference

Modes of Parametric Statistical Inference

Predictive Inference

Predictive Inference

Statistics in Genetics

Statistics in Genetics

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