Data Analysis Using Regression and Multilevel/Hierarchical Models

What Hacker News says

1. maydOct 2023
   A good introductory book is this one: "The Statistical Sleuth. A Course in Methods of Data Analysis" (3rd Edition) by Fred Ramsey and Daniel Schafer <http://www.statisticalsleuth.com/>.

   Another good book at a more 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 way of thinking.

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2. fractionalhareSep 2020
   Lots of tech and finance companies (particularly those with standardized interview processes) will blacklist questions if they're found online. Those companies will constantly check GitHub, GeeksForGeeks and Leetcode to see if their questions are listed there with solutions.

   This probably won't be the case for a question as basic as, "what is regression?" But for any intermediate to advanced interview question involving 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.

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3. redtextureNov 2016
   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

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