Science & Math | Mathematics

Meta Analysis : A Guide to Calibrating and Combining Statistical Evidence

by Elena Kulinskaya

2020-07-23 13:31:40

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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 ... Read more
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. Less

Book Details

File size8.91x6.05x0.64inches
Print pages260
PublisherWiley-Interscience
Publication date April 1, 2008
ISBN9780470028643
autor-image
Elena Kulinskaya
Author
...

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