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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
Elena Kulinskaya, Stephan Morgenthaler, Robert G. StaudteHow much do you like this book?
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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.
Categories:
Year:
2008
Publisher:
Wiley-Interscience
Language:
english
Pages:
272
ISBN 10:
0470028645
ISBN 13:
9780470028643
Series:
Wiley Series in Probability and Statistics
File:
PDF, 3.09 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2008
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