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Tytuł artykułu

Ryszard Zieliński’s contribution to statistical optimization and fixed-precision estimation

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Języki publikacji
PL
Abstrakty
EN
Professor Ryszard Zieliński's results in stochastic approximation, extremal experimental design in the framework of response surface analysis and fixed-precision set estimation are outlined. First, he proposed a randomized version of Fabian's (1967) gradient estimate in the Kiefer-Wolfowitz procedure, which reduced the number of required observations and improved the rate of convergence. Second, when considering response surface analysis and experimental designs for the gradient estimation, he constructed a randomized simplex design which resulted in the unbiased estimator. Third, he gave a method to construct confidence sets with prescribed accuracy (i. e. the width and the confidence level) by sampling independent copies of a process of interest. Professor Ryszard Zieliński's results in stochastic approximation, extremal experimental design in the framework of response surface analysis and fixed precision set estimation are outlined. First, he proposed a randomized version of Fabian's (1967) gradient estimate in the Kiefer-Wolfowitz procedure, which reduced the number of required observations and improved the rate of convergence. Second, when considering response surface analysis and experimental designs for the gradient estimation, he constructed a randomized simplex design which resulted in the unbiased estimator. Third, he gave a method to construct confidence sets with prescribed accuracy (i. e. the width and the confidence level) by sampling independent copies of a process of interest.
Rocznik
Strony
107--111
Opis fizyczny
Bibliogr. 3 poz.
Twórcy
Bibliografia
  • [1] J. R. Blum, J. Rosenblatt (1969), On fixed precision estimation in time series, Ann. Math. Statist. 40, 1021-1032.
  • [2] V. Fabian (1967), Stochastic approximation of minima with improved asymptotic speed, Ann. Math. Statist. 38, 191-200.
  • [3] J. Kiefer, J. Wolfowitz (1952), Stochastic estimation of the maximum of a regression function, Ann. Math. Statist. 23, 462-466.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e64caa4d-57d6-4859-aa29-6d7f1952574c
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