Author(s): | Phillip I. Good, James W. Hardin | |||
Collection: | and How to Avoid Them | |||
Publisher: | Wiley-Interscience | |||
Year: | 2003 | |||
Language: | English | |||
Pages: | 220 pages | |||
Size: | 918 KB | |||
Extension: | ||||
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[content title="Description"]A textbook for students who have taken an undergraduate course or two in statistics, and know in theory about the various methods, but not necessarily how or when to use them. It revisits familiar terms and concepts in a mathematically rigorous but non-technically written foundation for statistical procedures.
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[content title="About the author"]Phillip I. Good (born in 1937) is a Canadian-American mathematical statistician. He was educated at McGill University and the University of California at Berkeley. He has been married to Dorothy Marie LaGrandeur since 21 January 1997/
He was among the first to apply the bootstrap in his 1975 analyses of 2×2 designs with a missing cell.[pub 1] His chief contributions to statistics are in the area of small sample statistics, including a uniformly most powerful unbiased (UMPU) permutation test for Type I censored data,[pub 2] an exact test for comparing variances, and an exact test for cross-over designs.[ [/content]
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