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Home > Education > Mathematics > Modes of Parametric Statistical Inference-eBook
Modes of Parametric Statistical Inference
 
 
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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.


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Title of ebook: Modes of Parametric Statistical Inference
ISBN: 9780471743125
Publisher: Wiley-Interscience
Internet download file size: 1780 kb
Pages: 192
Released online for download: 01-03-2006
Author of eBook: Geisser, Seymour

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Modes of Parametric Statistical Inference


Chapter One

A Forerunner

1.1 PROBABILISTIC INFERENCE-AN EARLY EXAMPLE

An early use of inferred probabilistic reasoning is described by Rabinovitch (1970).

In the Book of Numbers, Chapter 18, verse 5, there is a biblical injunction which enjoins the father to redeem his wife's first-born male child by payment of five pieces of silver to a priest (Laws of First Fruits). In the 12th Century the theologian, physician and philosopher, Maimonides addressed himself to the following problem with a solution. Suppose one or more women have given birth to a number of children and the order of birth is unknown, nor is it known how many children each mother bore, nor which child belongs to which mother. What is the probability that a particular woman bore boys and girls in a specified sequence? (All permutations are assumed equally likely and the chances of male or female births is equal.)

Maimonides ruled as follows: Two wives of different husbands, one primiparous (P) (a woman who has given birth to her first child) and one not (P). Let ... read full excerpt from Modes of Parametric Statistical Inference ebook



 


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