Paul Roback

(Author)

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in RHardcover, 29 December 2020

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R
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Part of Series
Chapman & Hall/CRC Texts in Statistical Science
Print Length
418 pages
Language
English
Publisher
CRC Press
Date Published
29 Dec 2020
ISBN-10
1439885389
ISBN-13
9781439885383

Description

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling.

A solutions manual for all exercises is available to qualified instructors at the book's website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors' GitHub repo (https: //github.com/proback/BeyondMLR)

Product Details

Authors:
Paul RobackJulie Legler
Book Format:
Hardcover
Country of Origin:
US
Date Published:
29 December 2020
Dimensions:
23.39 x 15.6 x 2.39 cm
ISBN-10:
1439885389
ISBN-13:
9781439885383
Language:
English
Location:
Oxford
Pages:
418
Publisher:
Weight:
784.71 gm

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