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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence (Wiley Series in Probability and Statistics) | 
| Authors: Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte Publisher: Wiley-Interscience Category: Book
List Price: $75.00 Buy New: $53.84 You Save: $21.16 (28%)
New (16) Used (2) from $53.84
Sales Rank: 370075
Media: Paperback Edition: 1 Number Of Items: 1 Pages: 282 Shipping Weight (lbs): 0.9 Dimensions (in): 8.8 x 6 x 0.7
ISBN: 0470028645 Dewey Decimal Number: 610.727 EAN: 9780470028643 ASIN: 0470028645
Publication Date: April 25, 2008 Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.
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Product Description Meta Analysis: A Guide to Calibrating and Combining Statistical Evidenceacts 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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