Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence: 757 (Wiley Series in Probability and Statistics)

Robert G. Staudte Stephan Morgenthaler Elena Kulinskaya

ISBN 10: 0470028645 / ISBN 13: 9780470028643

Published by John Wiley & Sons, 2008

About this Item

Print on Demand pp. 282.

Seller Inventory # 7522904

Bibliographic Details

• Title: Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence: 757 (Wiley Series in Probability and Statistics)
• Publisher: John Wiley & Sons
• Publication Date: 2008
• Language: English
• ISBN 10: 0470028645
• ISBN 13: 9780470028643
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Author

Dr. E. Kulinskaya – Director, Statistical Advisory Service, Imperial College, London.

Professor S. Morgenthaler – Chair of Applied Statistics, Ecole Polytechnique Fédérale de Lausanne, Switzerland. Professor Morgenthaler was Assistant Professor at Yale University prior to moving to EPFL and has chaired various ISI committees.

Professor R. G. Staudte – Department of Statistical Science, La Trobe University, Melbourne. During his career at La Trobe he has served as Head of the Department of Statistical Science for five years and  Head of the School of Mathematical and Statistical Sciences for two years. He was an Associate Editor for the Journal of Statistical Planning & Inference for 4 years, and is a member of the American Statistical Association, the Sigma Xi Scientific Research Society and the Statistical Society of Australia.