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Title: good practical book on data reduction and discrimination
Review: I know these authors very well and they are both good instructors and writers. The nice thing about their two books is that they cover the important material for applied statisticians and they illustrate the techniques with SAS programming. This is especially helpful for those of us working in the pharmaceutical industry where SAS is essentially mandated.The only reason I gave it 4 stars instead of 5 is that they still recommend the leave-one-out method for error estimation in discriminant analysis when the work of Efron and others in the mid 1980s indicated that bootstrap methods of bias adjustment are generally superior to leave-one-out. The authors neglected to mention anything about the bootstrap literature on it.
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