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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
- Author: Kulinskaya, Elena
- Publisher: John Wiley & Sons
- Binding: Paperback
- Copyright: 2008
- ISBN-13: 9780470028643
- ISBN-10: 0470028645
"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.
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.
Additional Book Description
"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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