Methods and Applications of Linear Models: Regression and the Analysis of Variance - Tapa blanda

Sinopsis

Regression and analysis of variance represent 90 of all applied statistical analysis. This book is unique in that it represents a unified treatment of these two areas. This view is carried out through chapters discussing linear models, distribution of linear and quadratic forms, estimation and inference for simple linear models, single predictor regression models, multiple predictor regression models as well as factorial models. A disk of data sets will be included in the book.

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