A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science) - Tapa blanda

Monahan, John F.

 
9781420062014: A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
Tapa blanda
ISBN 10: 1420062018 ISBN 13: 9781420062014
Editorial: Chapman and Hall/CRC, 2011

Sinopsis

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact, finite sample theory supporting common statistical methods.

With coverage steadily progressing in complexity, the text first provides examples of the general linear model, including multiple regression models, one-way ANOVA, mixed-effects models, and time series models. It then introduces the basic algebra and geometry of the linear least squares problem, before delving into estimability and the Gauss–Markov model. After presenting the statistical tools of hypothesis tests and confidence intervals, the author analyzes mixed models, such as two-way mixed ANOVA, and the multivariate linear model. The appendices review linear algebra fundamentals and results as well as Lagrange multipliers.

This book enables complete comprehension of the material by taking a general, unifying approach to the theory, fundamentals, and exact results of linear models.

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Acerca del autor

John F. Monahan

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Editorial
Chapman and Hall/CRC
Año de publicación
2011
Idioma
Inglés
ISBN 10 
1420062018
ISBN 13 
9781420062014
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
304
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781138469532: A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

Edición Destacada

ISBN 10:  113846953X ISBN 13:  9781138469532
Editorial: Chapman and Hall/CRC, 2017
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