Название: Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R
Автор: Paul Roback, Julie Legler
Издательство: CRC Press
Год: 2021
Страниц: 437
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB
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.