Beyond Multiple Linear Regression
Applied Generalized Linear Models And Multilevel Models in R
- Forfattere: Paul Roback , Julie Legler
- Format: Innbundet
- Antall sider: 418
- Språk: Engelsk
- Forlag/Utgiver: SD Books
- Serienavn: Chapman & Hall/CRC Texts in Statistical Science
- EAN: 9781439885383
- Utgivelsesår: 2020
- Bidragsyter: Roback, Paul; Legler, Julie
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 appreciati