Generalized, Linear, and Mixed Models, Vol. 1
Читать фрагмент
Моментальное скачивание
после оплаты (24/7)
Широкий выбор форматов
(для всех устройств)
Полная версия книги
(в т.ч. для Apple и Android)
For graduate students and practicing statisticians, McCulloch (biostatistics, U. of California-San Francisco) and Searle (biometry, Cornell U.) begin by reviewing the basics of linear models and linear mixed models, in which the variance structure is based on random effects and their variance components. Then they head into the more difficult terrain of generalized linear models, generalized linear mixed models, and even some nonlinear models. The early chapters could provide a core for a one-quarter or one-semester course, or part of a course on linear models.
LF/534570557/R
Характеристики
- ФИО Автора
- Charles E. McCulloch
Shayle R. Searle - Язык
- Английский
- Серия
- Wiley Series in Probability and Statistics
- ISBN
- 9780471193647
- Дата выхода
- 2001
