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:
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
Description
Summary:This book provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It attempts to establish a gold standard for how a statistical analysis should proceed. The book illustrates relative belief theory using many examples and describes the strengths and weaknesses of the theory. The author also addresses fundamental statistical issues, including the meaning of probability, the role of subjectivity, the meaning of objectivity, and the role of infinity and continuity.
Physical Description:1 online resource (250 pages)
ISBN:9781482242805
1482242796
9781482242799
9780429095115
0429095112