Information inequalities for the minimax risk of sequential estimators (with applications)

Lesław Gajek; B. Mizera-Florczak

Applicationes Mathematicae (1998)

  • Volume: 25, Issue: 1, page 85-100
  • ISSN: 1233-7234

Abstract

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Information inequalities for the minimax risk of sequential estimators are derived in the case where the loss is measured by the squared error of estimation plus a linear functional of the number of observations. The results are applied to construct minimax sequential estimators of: the failure rate in an exponential model with censored data, the expected proportion of uncensored observations in the proportional hazards model, the odds ratio in a binomial distribution and the expectation of exponential type random variables.

How to cite

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Gajek, Lesław, and Mizera-Florczak, B.. "Information inequalities for the minimax risk of sequential estimators (with applications)." Applicationes Mathematicae 25.1 (1998): 85-100. <http://eudml.org/doc/219196>.

@article{Gajek1998,
abstract = {Information inequalities for the minimax risk of sequential estimators are derived in the case where the loss is measured by the squared error of estimation plus a linear functional of the number of observations. The results are applied to construct minimax sequential estimators of: the failure rate in an exponential model with censored data, the expected proportion of uncensored observations in the proportional hazards model, the odds ratio in a binomial distribution and the expectation of exponential type random variables.},
author = {Gajek, Lesław, Mizera-Florczak, B.},
journal = {Applicationes Mathematicae},
keywords = {odds ratio; information inequalities; censored data; minimax estimation; proportional hazard model; proportional hazards model},
language = {eng},
number = {1},
pages = {85-100},
title = {Information inequalities for the minimax risk of sequential estimators (with applications)},
url = {http://eudml.org/doc/219196},
volume = {25},
year = {1998},
}

TY - JOUR
AU - Gajek, Lesław
AU - Mizera-Florczak, B.
TI - Information inequalities for the minimax risk of sequential estimators (with applications)
JO - Applicationes Mathematicae
PY - 1998
VL - 25
IS - 1
SP - 85
EP - 100
AB - Information inequalities for the minimax risk of sequential estimators are derived in the case where the loss is measured by the squared error of estimation plus a linear functional of the number of observations. The results are applied to construct minimax sequential estimators of: the failure rate in an exponential model with censored data, the expected proportion of uncensored observations in the proportional hazards model, the odds ratio in a binomial distribution and the expectation of exponential type random variables.
LA - eng
KW - odds ratio; information inequalities; censored data; minimax estimation; proportional hazard model; proportional hazards model
UR - http://eudml.org/doc/219196
ER -

References

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  1. M. Alvo (1977), Bayesian sequential estimation, Ann. Statist. 5, 955-968. Zbl0368.62061
  2. Y. S. Chow, H. Robbins and D. Siegmund (1971), Great Expectations: The Theory of Optimal Stopping, Houghton Mifflin, Boston. Zbl0233.60044
  3. S. Csörgő (1988), Estimation in the proportional hazards model of random censorship, Statistics 19, 437-463. 
  4. S. Csörgő and J. Mielniczuk (1988), Density estimation in the simple proportional hazards model, Statist. Probab. Letters 6, 419-426. Zbl0691.62039
  5. L. Gajek (1987), An improper Cramér-Rao lower bound, Zastos. Mat. 19, 241-256. Zbl0644.62027
  6. L. Gajek (1988), On minimax value in the scale model with truncated data, Ann. Statist. 16, 669-677. Zbl0645.62011
  7. L. Gajek and U. Gather (1991), Estimating a scale parameter under censorship, Statistics 22, 529-549. Zbl0742.62028
  8. J. C. Gardiner and V. Susarla (1984), Risk-efficient estimation of the mean exponential survival time under random censoring, Proc. Nat. Acad. Sci. U.S.A. 81, 5906-5909. Zbl0557.62074
  9. J. C. Gardiner and V. Susarla (1991), Some asymptotic distribution results in time-sequential estimation of the mean exponential survival time, Canad. J. Statist. 19, 425-436. 
  10. J. C. Gardiner, V. Susarla and J. van Ryzin (1986), Time sequential estimation of the exponential mean under random withdrawals, Ann. Statist. 14, 607-618. Zbl0603.62088
  11. J. A. Koziol and S. B. Green (1976), A Cramér-von Mises statistic for randomly censored data, Biometrika 63, 465-474. Zbl0344.62018
  12. E. L. Lehmann (1983), Theory of Point Estimation, Wiley, New York. Zbl0522.62020
  13. R. Magiera (1977), On sequential minimax estimation for the exponential class of processes, Zastos. Mat. 15, 445-454. Zbl0371.62115
  14. B. Mizera (1996), Lower bounds on the minimax risk of sequential estimators, Statistics 28, 123-129. Zbl0864.62055
  15. W. Rudin (1976), Principles of Mathematical Analysis, McGraw-Hill, New York. Zbl0346.26002
  16. M. Tahir (1988), Asymptotically optimal Bayesian sequential point estimation with censored data, Sequential Anal. 7, 227-237. Zbl0689.62066
  17. J. Wolfowitz (1947), The efficiency of sequential estimates and Wald's equation for sequential processes, Ann. Math. Statist. 19, 215-230. Zbl0032.04203
  18. M. Woodroofe (1982), Nonlinear Renewal Theory in Sequential Analysis, CBMS-NSF Regional Conf. Ser. Appl. Math. 39, SIAM, Philadelphia. Zbl0487.62062

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