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Tytuł artykułu

The asymptotic consistency and efficiency of fixed-size sequential confidence sets

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the paper, a sequential confidence set based on an estimation process of a multivariate parameter is constructed. Under the assumption that the estimation process scaled by an increasing positive process has an asymptotic distribution it is proved that the sequential confidence set is asymptotically consistent and asymptotic- ally efficient. The results are applied to the sequential confidence sets based on maximum likelihood estimators of a multivariate parameter in the iid case and in the exponential class of processes.
Rocznik
Strony
19--31
Opis fizyczny
Bibliogr. 15 poz.
Twórcy
  • Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, PL-50-370 Wrocław, Poland
Bibliografia
  • [1] F. J. Anscombe, Sequential estimation, J. Roy. Statist Soc. Ser. В 15 (1953), pp. 1-21.
  • [2] P. Billingsley, Convergence of Probability Measures, Willey, New York 1968.
  • [3] Y. S. Chow and H. Robbins, On the asymptotic theory of fixed-width sequential confidence intervals for the mean, Ann. Math. Statist. 36 (1965), pp. 457-462.
  • [4] — and D. Siegmund, Optimal Stopping. Great Expectations, Willey, New York 1977.
  • [5] M. Erlandsen and M. Sorensen, Statistical analysis of the variation of the oxygen concentration in a river by means of diffusion processes, in: Applied Statistics Symposium, Aarhus, January 1984, L. S. Mortensen (Ed.), RECAU, Aarhus 1984.
  • [6] P. W. Glynn and W. Whitt, The asymptotic validity of sequential stopping rules for stochastic simulations, Ann. Appl. Probab. 2, No. 1 (1992), pp. 180-198.
  • [7] P. Grambsch, Sequential sampling based on the observed Fisher information to guarantee the accuracy of the maximum likelihood estimator, Ann. Statist. 11 (1983), pp. 68-77.
  • [8] — Sequential maximum likelihood estimation with applications to logistic regression in case-control studies, J. Statist. Plann. Inference 22 (1989), pp. 355-369.
  • [9] A. Gut, Stopped Random Walks, Springer, New York 1988.
  • [10] U. Küchler and M. Serensen, Exponential families of stochastic processes and Levy processes, J. Statist. Plann. Inference 39 (1994), pp. 211-237.
  • [11] A. Martinsek, Fixed-sized confidence regions for parameters of a logistic regression model, Ann. Statist 20, No. 4 (1992), pp. 1953-1969.
  • [12] M. Sorensen, On maximum likelihood estimation in randomly stopped diffusion-type processes, Internat. Statist. Rev. 51 (1983), pp. 93-110.
  • [13] — On sequential maximum likelihood estimation for exponential families of stochastic processes, ibidem 54 (1996), pp. 191-210.
  • [14] V. Stefanо V, Explicit limit results for minimal sufficient statistics and maximum likelihood estimators in some Markov processes: exponential families approach, Ann. Statist. 23, No 4 (1995), pp. 1073-1101.
  • [15] K. F. Yu, On fixed-width confidence intervals associated with maximum likelihood estimation, J. Theoret. Probab. 2, No. 2 (1989), pp. 193-200.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-59a60a38-68d5-4fa4-bb59-e3602b8b936a
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