Regression with linear predictors / Per Kragh Andersen, Lene Theil Skovgaard ; with 171 illustrations by Therese Graversen.
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EWU Library E-book | Non-fiction | 519.536 ANR 2010 (Browse shelf(Opens below)) | Not for loan | ||||
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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 BOR 2023 Regression analysis in R : a comprehensive view for the social sciences / | 519.536 CAR 2013 Regression analysis of count data / |
Includes bibliographical references (p. [483]-486) and index.
TOC 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.
AS
Tahur Ahmed
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