• Title: Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R
• Author(s) Paul Roback and Julie Legler
• Publisher: Chapman and Hall/CRC; 1st edition; eBook (Creative Commons Licensed, 2021-01-26)
• License(s): CC BY-NC-ND 3.0 US
• Hardcover/Paperback: 436 pages
• eBook: HTML
• Language: English
• ISBN-10/ASIN: 1439885389
• ISBN-13: 978-1439885383
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Book Description

This book 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.

• Paul Roback is the Kenneth O. Bjork Distinguished Professor of Statistics and Data Science and Julie Legler is Professor Emeritus of Statistics at St. Olaf College in Northfield, MN.

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• Statistics, Mathematical Statistics, and SAS Programming
• The R Programming Language
• Data Science
• Data Analysis and Data Mining, Big Data

• Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R
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