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The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics)

Bradley Efron




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 | #1861864 in Books |  1987-01-01 | Original language:English | PDF # 1 |  8.98 x.31 x5.98l,.40 | File type: PDF | 100 pages

||1 of 1 people found the following review helpful.| More complicated than necessary, and outdated|By Allen Downey|The primary appeal of jackknife and bootstrap methods is that they are simple. This book dresses them up in mathematical notation, making them much harder to understand than they need to be. Also, since it was written in 1982, it's approach to computation is quaint. I will move on to a more recent presentation of

The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made. This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and ...

You easily download any file type for your gadget.The Jackknife, the Bootstrap, and Other Resampling Plans (CBMS-NSF Regional Conference Series in Applied Mathematics)   |  Bradley Efron.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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