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

Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R (Chapman & Hall/CRC Texts in Statistical Science)
by: Paul Roback and Julie Legler
Publisher finelybook 出版社: Chapman and Hall/CRC; 1st edition (December 29,2020)
Language 语言: English
Print length 页数: 436 pages
ISBN-10: 1439885389
ISBN-13: 9781439885383
Book 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.