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Titlebook: Asymptotic Methods in Probability and Statistics with Applications; N. Balakrishnan,I. A. Ibragimov,V. B. Nevzorov Book 2001 Springer Scie

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Bioavailability and Bioequivalence,ce. Basic tools are either majorizing measures or quantities defined by Partitions and weights. Our objective in this chapter is to investigate generalizations of those expressions. As a consequence, we get a deeper understanding of the structure of precompact metric spaces as well as of Gaussian processes.
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Bioavailability and Bioequivalence,d first terms of both the Edgeworth expansions and the expansions in the exponent of the distribution functions of certain sums of such random variables with nonnegative strictly stable as well as discrete stable limit laws are considered.
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Bioavailability and Bioequivalence,al result of Marcinkiewitz, if all but finitely many cumulants are ., then . is Gaussian. In this chapter, we prove the following generalization. Denote by λ., the sequence of sign changes in the sequence .. If . has no zeros on the real line and., then . is Gaussian. We conjecture that for non-Gaus
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Bioavailability and Bioequivalence,ined in the Particular case when the summands have smooth distributions which are close to Gaussian ones. The bounds obtained reflect this closeness. Furthermore, the results provide sufficient conditions for the existence of i.i.d. vectors X., X.,… with given distributions and corresponding i.i.d.
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Foundations of PharmacokineticsSufficient conditions are given under which the distribution of a finite quadratic form in independent identically distributed symmetric random variables defines uniquely the underlying distribution. Moreover, a stability theorem for quadratic forms is proved.
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