This book contains several changes from past editions including a new section that introduces generalized linear models. It will be of interest to researchers and graduate students in pure and applied statistics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The authors emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make it ideal for a graduate- level course. All of the standard topics are covered in depth. In addition, the book covers topics that are not usually treated at this level, but which are important in their own right. The author, Ronald Christensen, is a Professor of Statistics at the University of New Mexico.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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