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UNITED STATES AUTHOR · BAYESIAN STATISTICAL DECISION THEORY

Andrew Gelman

Also known as: Gelman Andrew

9
BOOKS
4.3
AVG RATING (3)
0
READERS
Philadelphia, United States
Wikipedia

Ambitious surveys of customers such as ours are instituted to characterize the relative performance of companies on the polled attributes; this provides a basis for actions to improve performance from a customer perspective.

— from Case Studies in Bayesian Statistics

Most acclaimed

#1

Regression and Other Stories

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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.

#2

Red state, blue state, rich state, poor state

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"...Gets to the bottom of why Democrats win elections in wealthy states while Republicans draw richer voters; how the real culture war is being waged among affluent Democrats and Republicans, not between the haves and have-nots--and much more. Gelman uses eye-opening, easy-to-read graphics to unravel the mystifying patterns of recent voting, painting a vivd portrait of the regional differences that drive American politics"--Cover, p. 2.

#3

A quantitative tour of the social sciences

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Social scientists become experts in their own disciplines but aren't always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would benefit from understanding how models are tested in psychology, historians should learn how political processes are studied, psychologists should understand sociological theories, and so forth. This overview by prominent social scientists gives an accessible, non-technical sense of how quantitative research is done in different areas. Readers will find out about models and ways of thinking in economics, history, sociology, political science, and psychology, which in turn they can bring back to their own work.

Books

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