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Linear Statistical Models
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Автор: James Stapleton
Название: Linear Statistical Models
Издательство: Wiley
Год: 1995
Серия: Wiley Series in Probability and Statistics (Book 235)
ISBN: 0-471-57150-4
Язык: English
Формат: pdf
Размер: 18,9 mb
Страниц: 472

These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in turn, opens up a wide range of applications to the physical, biological, and social sciences, as well as to business, agriculture, and engineering. Unlike similar books on this topic, Linear Statistical Models emphasizes the geometry of vector spaces because of the intuitive insights this approach brings to an understanding of the theory. While the focus is on theory, examples of applications, using the SAS and S-Plus packages, are included.

Prerequisites include some familiarity with linear algebra, and probability and statistics at the postcalculus level.







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