Data Analysis Using Regression and Multilevel/Hierarchical Models

Name: Data Analysis Using Regression and Multilevel/Hierarchical Models
ISBN: 9780521867061

by Jennifer Hill · first published 2006

3mentions

2recommended by

3HN commenters

2016–2023first – last mentioned

67% recommend33% neutral

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Mentions per year

fractionalhare · Sep 13, 2020 · Recommends

…regression, I would expect companies to jealously guard it. If you're earnestly interested in building and testing your knowledge, I would recommend you read The Elements of Statistical Learning and Data Analysis Using Regression and Multilevel/Hierarchical Models. Also a good upper undergrad textbook in probability, like A First Course in Probability.
on “Data science interview questions with answers” ↗
mayd · Oct 13, 2023 · Recommends

…advanced level is this one: "Regression and Other Stories" by Andrew Gelman and Jennifer Hill <http://www.stat.columbia.edu/~gelman/arm/>. Another good book at an even more advanced level is this one: "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill <http://www.stat.columbia.edu/~gelman/arm/>. These books are all very polished productions. What make makes them special is that they emphasis teaching the statistical…
on “Introduction to Modern Statistics” ↗
redtexture · Nov 13, 2016 · Mentions

Fuller title on "Regression Analysis by Gilman"? I cannot find such a title author combination online. Perhaps?: "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman & Jennifer Hill
on “Why is machine learning ‘hard’?” ↗