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Titlebook: Contributions to Stochastics; In Honour of the 75t Wolfgang Sendler Book 1987 Physica-Verlag Heidelberg 1987 Markov chain.Parameter.Power.V

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Vestibular Influences during Sleeped in this paper. The latter results can be viewed as convergence rate improvements of their earlier counterparts, typically providing the best rates, but not necessarily the best constants. Some specific examples are presented to demonstrate the applicability of our general approach.
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https://doi.org/10.1007/978-3-642-66351-2rly hopes for easy solution (and the Rizvi-Woodworth counterexample to Lehmann’s work), Sobel’s procedure (and the invalidity of more intuitive procedures), dual problems, tables, computer science applications, and robust two-stage solutions. Possible directions of new research are noted.
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https://doi.org/10.1007/978-3-642-67159-3ly it is proved that a finite measure on a σ-algebra is atomless if and only if the support of the regular Borel measure of the corresponding Stone representation does not contain a σ-additive measure.
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International Boehringer Mannheim Symposiaility, optimality) of the minimum variance unbiased linear estimator where X.,...,X. are required to be independent. Finally, the indepen-dence of X.,...,X. is replaced by a certain linear framework and a method is presented for carrying over the characterizations previously stated for the independent case to this linear set-up.
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Invariant Sufficiency, Equivariance and Characterizations of the Gamma Distribution,ility, optimality) of the minimum variance unbiased linear estimator where X.,...,X. are required to be independent. Finally, the indepen-dence of X.,...,X. is replaced by a certain linear framework and a method is presented for carrying over the characterizations previously stated for the independent case to this linear set-up.
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Sequential Analysis: Exact Values for the Bernoulli Distribution,e Operating Characteristic (OC-function) P(po accepted | p true), especially the errors of the first and second kind α and β. Furthermore, the exact distribution of the number of trials, especially the average sample number CASH-function) and higher moments of the number of trials.
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On the Power of Entropy-Based Tests Against Bump-Type Alternatives,l tests for uniformity versus bump-type alternatives are currently of strong interest. In this paper we report the power of a new entropy-based test of uniformity under a bump alternative. The results are contrasted to previous statements of Cressie based on a statistic involving logarithms of high-order spacings.
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