Free Delivery Over $100
|
|
|||
|
||||
OverviewThis modern statistics text discusses the extension of the linear model through the regression model. It extensively addresses the generalized linear model, GLM diagnostics, generalized linear mixed models, trees, and the use of neural networks in the field of statistics. It discusses the regression model in three forms: through the use of dummy variables for qualitative predictors, by allowing transformation of variables as in the Box-Cox transformation, and the use of weights which allow heterogeneous error structures and the exclusion of outliers. R is used throughout the book to aid with computation and model building. Full Product DetailsAuthor: Julian J Faraway (University of Bath, United Kingdom)Publisher: Taylor & Francis Group Imprint: Taylor & Francis Group ISBN: 9781280348273ISBN 10: 1280348275 Pages: 301 Publication Date: 20 December 2005 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
