Measuring Statistical Evidence Using Relative Belief /

Measuring Statistical Evidence Using Relative Belief /

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Bibliographic Details
Author / Creator:	Evans, Michael, author.
Edition:	1st edition.
Imprint:	Chapman and Hall/CRC, 2015.
Description:	1 online resource (250 pages)
Language:	English
Subject:	Error analysis (Mathematics) Error analysis. Mathematical analysis. Measurement uncertainty (Statistics) Measurement uncertainty. Observed confidence levels (Statistics) Observed confidence levels. Statistics. Mathematical statistics. Mathematical statistics Error analysis (Mathematics) Mathematical analysis Measurement uncertainty (Statistics) Observed confidence levels (Statistics) Statistics e-books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13679718

Hidden Bibliographic Details
Other authors / contributors:	Safari, an O'Reilly Media Company.
ISBN:	9781482242805 1482242796 9781482242799 9780429095115 0429095112
Digital file characteristics:	text file
Notes:	Made available through: Safari, an O'Reilly Media Company. Online resource; Title from title page (viewed June 23, 2015)
Summary:	A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical evidence allows you to answer the basic question of when.
Standard no.:	KE79255 9781482242805

Table of Contents:

Front Cover; Dedication; Contents; Preface; Chapter 1 Statistical Problems; Chapter 2 Probability; Chapter 3 Characterizing Statistical Evidence; Chapter 4 Measuring Statistical Evidence Using Relative Belief; Chapter 5 Choosing and Checking the Model and Prior; Chapter 6 Conclusions; Appendix A The Definition of Density; References; Index; Back Cover