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Introduction: Christian Robert is planning a graduate seminar in which students read 15 classic articles of statistics. (See here for more details and a slightly different list.) Actually, he just writes “classics,” but based on his list, I assume he only wants articles, not books. If he wanted to include classic books, I’d nominate the following, just for starters: - Fisher’s Statistical Methods for Research Workers - Snedecor and Cochran’s Statistical Methods - Kish’s Survey Sampling - Box, Hunter, and Hunter’s Statistics for Experimenters - Tukey’s Exploratory Data Analysis - Cleveland’s The Elements of Graphing Data - Mosteller and Wallace’s book on the Federalist Papers. Probably Cox and Hinkley, too. That’s a book that I don’t think has aged well, but it seems to have had a big influence. I think there’s a lot more good and accessible material in these classic books than in the equivalent volume of classic articles. Journal articles can be difficult to read and are typicall


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1 Christian Robert is planning a graduate seminar in which students read 15 classic articles of statistics. [sent-1, score-0.57]

2 I think there’s a lot more good and accessible material in these classic books than in the equivalent volume of classic articles. [sent-7, score-0.712]

3 Journal articles can be difficult to read and are typically filled with irrelevant theoretical material, the kind of stuff you need to include to impress the referees. [sent-8, score-0.355]

4 One thing that struck me about the list supplied by Christian is how many of these articles I would definitely not include in such a course. [sent-12, score-0.404]

5 Similarly, I can’t see the point of including the paper by Hastings (1970). [sent-15, score-0.278]

6 The paper is fine–I’d be proud to have written it, in fact I’d gladly admit that it’s better than 90% of anything I’ve ever published–but it seems more of a minor note than a “classic. [sent-24, score-0.412]

7 It’s a fine article and the EM algorithm has been tremendously useful, but, still, I think it’s more about computation than statistics. [sent-27, score-0.238]

8 As to Berger and Sellke (1987), well, yes, this paper has had an immense influence, at least among theoretical statisticians–but I think the paper is basically wrong! [sent-28, score-0.428]

9 I don’t want to label a paper as a classic if it’s sent much of the field in the wrong direction. [sent-29, score-0.486]

10 For other papers on Christian’s list, I can see the virtue of including in a seminar. [sent-30, score-0.249]

11 This article, which appears in a volume of papers dedicated to George Snedecor, is a lot of fun (even if in many ways unsound). [sent-45, score-0.257]

12 I prefer this slightly to Mallows’s paper on Cp, written at about the same time (but I like the Mallows paper too). [sent-49, score-0.486]

13 The methods in the paper are mostly out of date, but it’s worth it for the discussion (especially the (inadvertently) hilarious contribution of Kempthorne). [sent-53, score-0.273]

14 If you only want to include one Rubin article, keep this one and leave “Inference and missing data” for students to discover on their own. [sent-67, score-0.326]

15 Perhaps there’s some general principle that papers published in year X have the most influence on graduate students in year X+15. [sent-73, score-0.435]

16 Anything earlier seems simply out of date (that’s how I feel about Stein’s classic papers, for example; sure, they’re fine, but I don’t see their relevance to anything I’m doing today, in contrast to the above-noted works by Tukey, Akaike, etc. [sent-74, score-0.541]

17 I’m thinking of influential papers by Wilcoxon, Box and Cox, and zillions of papers of that introduced particular hypothesis tests (the sort that have names that they tell you in a biostatistics class). [sent-80, score-0.481]

18 Individually, these papers are fine, but I don’t see that students would get much out of reading them. [sent-81, score-0.349]

19 If I was going to pick any paper of that genre, I’d pick Deming and Stephan’s 1940 article on iterative proportional fitting. [sent-82, score-0.273]

20 Any other classics you’d like to nominate (or places where you disagree with me)? [sent-84, score-0.364]


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