Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

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.

• | Author: Elena Kulinskaya
• | Publisher: Wiley-Interscience
• | Publication Date: Apr 01, 2008
• | Number of Pages: 288 pages
• | Binding: Paperback or Softback
• | ISBN-10: 0470028645
• | ISBN-13: 9780470028643