Meta Analysis - A Guide to Calibrating and Combining Statistical Evidence

Meta Analysis - A Guide to Calibrating and Combining Statistical Evidence by E Kulinskaya


ISBN
9780470028643
Published
Binding
Paperback
Pages
282
Dimensions
156 x 229 x 17mm

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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