Examples and Problems in Mathematical Statistics By: Shelemyahu Zacks

Author: Shelemyahu Zacks

This book presents examples that illustrate the theory of mathematical statistics and details how to apply the methods for solving problems. While other books on the topic contain problems and exercises, they do not focus on problem solving. This book fills an important niche in the statistical theory literature by providing a theory/example/problem approach. Each chapter is divided into four parts: Part I provides the needed theory so readers can become familiar with the concepts, notations, and proven results; Part II presents examples from a variety of fields including engineering, mathematics, and statistics; Part III contains the problems for solutions; and Part IV features selected problems with solutions. Within the book’s nine chapters, the authors provides 200 examples and over 300 problems, and solutions are provided for approximately 100f the problems. Chapter coverage includes: Basic Probability Theory; Statistical Distributions; Sufficient Statistics and Information in Samples; Testing Statistical Hypothesis; Statistical Estimation; Confidence and Tolerance Intervals; Large Sample Theory for Estimation and Testing; Bayesian Analysis in Testing and Estimation; and Advanced Topics in Estimation Theory.

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Author:		Shelemyahu Zacks
Title:		Examples and Problems in Mathematical Statistics
ISBN:		9781118605509
Publisher:	John Wiley and Sons, Inc.
Year:		2014
Language:	englanti
Genre:		Eksaktit luonnontieteet
Format:		EPUB+DRM
Link:		https://www.google.com/search?q=9781118605509
Description:
This book presents examples that illustrate the theory of mathematical statistics and details how to apply the methods for solving problems.  While other books on the topic contain problems and exercises, they do not focus on problem solving. This book fills an important niche in the statistical theory literature by providing a theory/example/problem approach.  Each chapter is divided into four parts: Part I provides the needed theory so readers can become familiar with the concepts, notations, and proven results; Part II presents examples from a variety of fields including engineering, mathematics, and statistics; Part III contains the problems for solutions; and Part IV features selected problems with solutions.  Within the book's nine chapters, the authors provides 200 examples and over 300 problems, and solutions are provided for approximately 10% of the problems.  Chapter coverage includes: Basic Probability Theory; Statistical Distributions; Sufficient Statistics and Information in Samples; Testing Statistical Hypothesis; Statistical Estimation; Confidence and Tolerance Intervals; Large Sample Theory for Estimation and Testing; Bayesian Analysis in Testing and Estimation; and Advanced Topics in Estimation Theory.
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22M	Shelemyahu_Zacks-Examples_and_Problems_in_Mathematical_Statistics-2014.epub
4.0K	Shelemyahu_Zacks-Examples_and_Problems_in_Mathematical_Statistics-2014.nfo
22M	total