This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples. Regression ...
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This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples. Regression Modelling Strategies presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression. As in the first edition, this text is intended for Masters' or PhD. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modelling techniques.
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Add this copy of Regression Modeling Strategies: With Applications to to cart. $37.50, good condition, Sold by Second Story Books rated 4.0 out of 5 stars, ships from Rockville, MD, UNITED STATES, published 2015 by Springer.
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Book. Octavo, xxv, 582 pages. In Very Good minus condition. Spine is yellow and brown with black print. Boards in glossy brown and yellow paper, white print. Remainder of torn away vendor label on rear panel. Illustrated: b&w and color graphs. Series ISSN: 0172-7397. NOTE: Shelved in Netdesk Column R. 1396340. FP New Rockville Stock.
Add this copy of Regression Modeling Strategies: With Applications to to cart. $38.74, good condition, Sold by Dream Books Co. rated 5.0 out of 5 stars, ships from Denver, CO, UNITED STATES, published 2016 by Springer.
Edition:
2nd Softcover Reprint of the Original 2nd 2015 edition
Publisher:
Springer
Published:
2016
Language:
English
Alibris ID:
18459448648
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Good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing but the text remains fully legible. Dust jacket may be missing and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Add this copy of Regression Modeling Strategies: With Applications to to cart. $41.68, good condition, Sold by greenway rated 5.0 out of 5 stars, ships from Chattanooga, TN, UNITED STATES, published 2015 by Springer.
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