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Название: Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models
Год: 2016
Издатель: Chapman & Hall/CRC
Язык: english
Кол-во страниц: 389
Формат: PDF
Описание:
Linear models are central to the practice of statistics. They are part of the core knowledge expected of any applied statistician. Linear models are the foundation of a broad range of statistical methodologies; this book is a survey of techniques that grow from a linear model.
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Для просмотра ссылки Войдиили Зарегистрируйся
Название: Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models
Год: 2016
Издатель: Chapman & Hall/CRC
Язык: english
Кол-во страниц: 389
Формат: PDF
Описание:
Linear models are central to the practice of statistics. They are part of the core knowledge expected of any applied statistician. Linear models are the foundation of a broad range of statistical methodologies; this book is a survey of techniques that grow from a linear model.
Скачать
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