Name: Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in r (Chapman & Hall (en Inglés)
Price: 275854.00 COP
Availability: InStock
Author: Paul Roback; Julie Legler
ISBN: 9781439885383

portada Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in r (Chapman & Hall (en Inglés)

Formato

Libro Físico

Autor

Paul Roback; Julie Legler

Año

2020

Idioma

Inglés

N° páginas

438

Encuadernación

Tapa Dura

ISBN13

9781439885383

N° edición

Categorías

Programación lineal

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in r (Chapman & Hall (en Inglés)

Paul Roback; Julie Legler (Autor) · · Tapa Dura

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Reseña del libro "Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in r (Chapman & Hall (en Inglés)"

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. A solutions manual for all exercises is available to qualified instructors at the book's website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors' GitHub repo (https://github.com/proback/BeyondMLR)