Measuring statistical evidence using relative belief / Michael Evans, University of Toronto, Canada.

Format:

Book

Author/Creator:

Evans, Michael, 1949- author.

Series:

Monographs on statistics and applied probability (Series) ; 144.

Monographs on Statistics and Applied Probability ; 144

Chapman & Hall Book

Language:

English

Subjects (All):

Observed confidence levels (Statistics).

Measurement uncertainty (Statistics).

Mathematical analysis.

Error analysis (Mathematics).

Statistics.

Physical Description:

1 online resource (252 p.)

Edition:

1st edition

Place of Publication:

Boca Raton : CRC Press, [2015]

Language Note:

English

System Details:

text file

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 a statistical analysis is correct.The book attempts to establish a gold standard for how a statistical analysis should proceed. It first introduces basic features of the overall approach, such as the roles of subjectivity, objectivity, infinity, and

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

Notes:

A Chapman and Hall book.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-04-005707-1

0-429-09511-2

1-4822-4280-X

9780429095115

OCLC:

910935335