Meta Analysis

A Guide to Calibrating and Combining Statistical Evidence

Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte

Wiley-Interscience
Collection: Wiley Series in Probability and Statistics
Publication date : 2008-04-15

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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.

The book is comprised of two parts – The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.

This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

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About the book

Author

Elena Kulinskaya , Stephan Morgenthaler , Robert G. Staudte

Imprint

Wiley-Interscience

Collection

Wiley Series in Probability and Statistics

Publication date

2008-04-15

Pages

288 pages

Print ISBN

9780470028643

Language

English

Ebook informations

EAN PDF

9780470985526

Price

£67.47

Copy count 0

Print count 288

File size 2734 Ko

Informations accessibility

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About author(s)

Elena Kulinskaya

Stephan Morgenthaler

Robert G. Staudte

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