Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

di Elena Kulinskaya (Autore)

Stephan Morgenthaler (Autore)

Robert G. Staudte (Autore)

John Wiley & Sons Inc, 2008

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.

• Autore: Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte
• Editore: John Wiley & Sons Inc
• Collana: Wiley Series in Probability and Statistics
• Anno: 2008
• Rilegatura: Paperback / softback
• Pagine: 288 p.
• Dimensioni: 229 x 154 mm
• Peso: 431 gr.
• EAN: 9780470028643

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