Articles liés à Regression with Linear Predictors

Regression with Linear Predictors - Couverture souple

 
9781441971715: Regression with Linear Predictors

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Synopsis

Statistical models.- One categorical covariate.- One quantitative covariate.- Multiple regression, the linear predictor.- Model building: From purpose to conclusion.- Alternative outcome types and link functions.- Further topics.

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Review

From the reviews:

“Specific orientation is emphasized as early as page 3 where three examples are discussed, one with a quantitative response, one with a binary response, and one with a survival time response. ... This book is extremely well written and the 171 excellent diagrams produced by Therese Graversen enhance it. ... In summary, this book is excellent and fully appropriate for the target audience.” (Norman R. Draper, International Statistical Review, Vol. 79 (2), 2011)

“The monograph belongs to the series of Statistics for Biology and Health, and is written by the internationally recognized experts in applied statistics from the University of Copenhagen, Denmark. ... There are exercises in each chapter, where consideration is performed meticulously, giving ready-to-use tools for practical regression numerical modeling and analysis. ... The book is especially useful for researchers who apply regressions to solve practical problems and want to extract real meaning from the obtained models.” (Stan Lipovetsky, Technometrics, Vol. 53 (3), August, 2011)

About the Author

The authors are since 1978 affiliated with the Department of Biostatistics, University of Copenhagen. Per Kragh Andersen is professor; he is a co-author of the Springer book "Statistical Models Based on Counting Processes," and has served on editorial boards on several statistical journals. Lene Theil Skovgaard is associate professor; she has considerable experience as teacher and consultant, and has served on the editorial board of Biometrics.

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Autres éditions populaires du même titre

9781441971692: Regression With Linear Predictors

Edition présentée

ISBN 10 :  1441971696 ISBN 13 :  9781441971692
Editeur : Springer-Verlag New York Inc., 2010
Couverture rigide