June 2016
Beginner to intermediate
398 pages
8h 51m
English
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The jackknife
The jackknife is – like the bootstrap – a resampling method. The jackknife can be used to determine bias and standard error of estimators. It is simpler and faster than the bootstrap, since we do not draw new (bootstrap) samples, but we leave out one value from the original sample (for each jackknife sample). We just make estimations with one observation excluded.
The jackknife method was originally proposed by Quenouille (1949). Almost a century later, John Tukey (1958) extended the use of the method by showing how to use it for reducing the bias and estimating the variance. He invented the name "jackknife". Like a pocket knife, this technique can be used as an easy to use and fast to calculate "quick and dirty" tool that can solve ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.