Can I read Regression : Models, Methods and Applications on EtoBox?

Regression : Models, Methods and Applications by Fahrmeir, Ludwig (author);Kneib, Thomas (author);Lang, Stefan (author);Marx, Brian D. (author) is a nonfiction available to read on EtoBox.

What is Regression : Models, Methods and Applications about?

Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book’s dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference. In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models a

Who reads Regression : Models, Methods and Applications?

Author

Fahrmeir, Ludwig (author);Kneib, Thomas (author);Lang, Stefan (author);Marx, Brian D. (author)

Publisher

Springer Berlin Heidelberg : Imprint: Springer

Published

2021

Language

EN

ISBN

9783662638835

Category

nonfiction

Subjects

Mathematics, Management, Stem