Regression and Other Stories PDF ebook

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Buy Regression and Other Stories PDF ebook by author Andrew Gelman; Jennifer Hill; Aki Vehtari published by Cambridge University Press in 2020 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
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eBook Details:

Full title: Regression and Other Stories
Edition:
Copyright year: 2020
Publisher: Cambridge University Press
Author: Andrew Gelman; Jennifer Hill; Aki Vehtari
ISBN: 9781107023987, 9781108907354
Format: PDF

Description of Regression and Other Stories:
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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