Roback, Paul

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)

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ISBN 13:
9780367680442
author:
Roback, Paul
format:
Paperback
publisher:
CRC Press
language:
English
Publication Year:
2024
Pages:
418
Dimensions:
23.3 x 15.6 x 2.3 centimetres (0
Genre:
Nonfiction, Psychology, Research,
Condition:
New
Availability:
Item usually sent within 10 working days
£52.61

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.

The authors introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The book features real data and real research questions, with case studies and exercises that use collaborative research conducted by the authors and their students, or from student projects.

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, as well as data sets and Rmd files for all case studies and exercises on the authors' GitHub repo.

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