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Mathematics Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence (Wiley Series in Probability and Statistics)
Posted on 2010-04-13
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Author: Robert G. Staudte, Stephan Morgenthaler, Elena Kulinskaya
Publisher: Wiley-Interscience (2008) Binding: Paperback, 282 pages pricer: $75.00 ISBN-10: 0470028645 editorialreviews 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 ¨C 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 left scale. checked checked failed failed failed
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