Regression with linear predictors / Per Kragh Andersen, Lene Theil Skovgaard ; with 171 illustrations by Therese Graversen.
By: Andersen, Per Kragh
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Contributor(s): Skovgaard, Lene Theil | Graversen, Therese.
Material type: 
TextSeries: Statistics for biology and health: Publisher: New York : Springer, c2010Description: xi, 494 p. : ill. ; 24 cm.ISBN: 9781441971692 (alk. paper); 1441971696 (alk. paper); 9781441971708 (eISBN); 144197170X (eISBN).Subject(s): Regression analysis | Regression AnalysisDDC classification: 519.536 Online resources: WorldCat details | Ebook Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519.536 ANR 2010 (Browse shelf) | Not for loan | ||||
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EWU Library Reserve Section | Non-fiction | 519.536 ANR 2010 (Browse shelf) | C-1 | Not For Loan | 26675 |
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| 519.535 PUM 2011 Matrix tricks for linear statistical models : | 519.535 REL 2008 Linear models in statistics / | 519.535 REM 2012 Methods of multivariate analysis / | 519.536 ANR 2010 Regression with linear predictors / | 519.536 APP 2005 Applied linear statistical models / | 519.536 CAR 2013 Regression analysis of count data / | 519.536 DRA 2011 Applied regression analysis / |
Includes bibliographical references (p. [483]-486) and index.
Table of contents 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.
This text provides a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. It includes many worked examples.
Applied Statistics
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