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There is a dichotomy in modern statistics that distinguishes between analyses done before an experiment is completed and those done afterward. Ranking and selection methods are useful in both of these categories. The authors provide an alternative to the overused "testing the null hypothesis" when what the practitioner really needs is a method of ranking k given populations, selecting the t best populations, or some similar goal. That need and purpose is as important today as when the subject was first developed nearly 50 years ago.
The Design and Analysis of Computer Experiments Автор: Thomas J. Santner Год: 2003 |
Analysis of messy data Автор: George A. Milliken Год: 2004 |
Human Molecular Biology Laboratory Manual Автор: Stefan Surzycki Год: 2003 |
Advances in Carbene Chemistry Автор: U.H. Brinker Год: 2001 |
The Experiment Автор: Stephen Kyle Год: 2003 |
Food Chemistry Автор: Dennis D. Miller Год: 1998 |