A Primer on Linear Models

John F. Monahan

ISBN 10: 113846953X / ISBN 13: 9781138469532

Editore: Chapman and Hall/CRC 2017-08-11, 2017

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Codice articolo 6666-TNFPD-9781138469532

Dati bibliografici

• Titolo: A Primer on Linear Models
• Editore: Chapman and Hall/CRC 2017-08-11
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 113846953X
• ISBN 13: 9781138469532
• Rilegatura: Hardcover
• Condizione: New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

John F. Monahan