Description: Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
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EAN: 9781107676510
UPC: 9781107676510
ISBN: 9781107676510
MPN: N/A
Item Length: 24.6 cm
Number of Pages: 548 Pages
Publication Name: Regression and Other Stories
Language: English
Publisher: Cambridge University Press
Item Height: 245 mm
Subject: Economics, Classical Studies, Mathematics
Publication Year: 2020
Type: Textbook
Item Weight: 1060 g
Author: Aki Vehtari, Jennifer Hill, Andrew Gelman
Item Width: 189 mm
Format: Paperback
