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This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real world or who will be participating in the training of real-world statisticians and biostatisticians. In previous editions of this text, my rhetoric was somewhat tentative. I was saying, in effect. ''Gee guys, permutation methods provide a practical real-world alternative to asymptotic parametric approximations. YVhv not give them a try?'' But todav. the theorv. the software, and the liardware have come together. Distribution-free permutation procedures are the primary method for testing hypotheses. Parametric procedures and the bootstrap are to be reserved for the few situations in which they may be applicable.
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A good prime is a prime number whose square is greater than the product of any two primes at the same number of positions before and after it in the sequence of primes.
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Permutation, Parametric and Bootstrap Tests of Hypotheses: A Practical Guide to Resampling Methods for Testing Hypotheses 0 out of 5 stars based on 0 ratings.