Timeline for Measuring representativeness of a (non-random) selection
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Jan 20, 2013 at 2:22 | comment | added | Arthur Small | @Thilo: Oh, dear. I suppose I invited that follow-up, so have only myself to blame. Answering would, alas, take a long while. 'Any' stats textbook will cover the topic: see, e.g., W.H. Greene, Econometric Analysis. On 'why not?', I'll recommend a book I find canonical that covers the philosophical and practical problems of hypothesis testing quite well and in depth: Statistical Decision Theory and Bayesian Analysis by J.O. Berger, amazon.com/gp/product/1441930744. Very short answer: I'm interested in using stats to make better decisions under uncertainty. HT doesn't help. | |
| Jan 20, 2013 at 1:37 | vote | accept | Thilo | ||
| Jan 20, 2013 at 1:37 | comment | added | Thilo | Great answer, exactly what I was looking for. For completeness, can you also provide a link to hypothesis testing and why you don't like it? | |
| Jan 17, 2013 at 17:05 | comment | added | Arthur Small | There is a noteworthy economic literature on statistical measurement of race and sex discrimination in, e.g., labor markets, that might be useful. A seminal work is: The Statistical Theory of Racism and Sexism Edmund S. Phelps The American Economic Review Vol. 62, No. 4 (Sep., 1972), pp. 659-661 Published by: American Economic Association Article Stable URL: jstor.org/stable/1806107 | |
| Jan 17, 2013 at 14:23 | history | edited | Arthur Small | CC BY-SA 3.0 |
In example: Replaced hand-waving approximate odds ratio with exact calculation; added brief proviso about election procedures for U.S. senators.
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| Jan 17, 2013 at 5:30 | history | edited | Arthur Small | CC BY-SA 3.0 |
Added interpretation of the numerical result as an odds ratio.
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| Jan 17, 2013 at 5:19 | history | answered | Arthur Small | CC BY-SA 3.0 |