Skip to main content
Log in

Some remarks on classical and bayesian reliability estimation of binomial and poisson distributions

  • Notes
  • Published:
Statistical Papers Aims and scope Submit manuscript

Abstract

The problems of estimating the reliability function and Pr{X1+...+Xk ≤ Y} are considered. The random variables X’s and Y are assumed to follow binomial and Poisson distributions. Classical estimators available in the literature are discussed and Bayes estimators are derived. In order to obtain the estimators of these parametric functions, the basic role is played by the estimators of factorial moments of the two distributions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Barton, D.E. (1961): Unbiased estimation of a set of probabilities. Biometrika, 48, 227–229.

    MATH  MathSciNet  Google Scholar 

  2. Blyth, C.R. (1980): Expected absolute error of the usual estimator of the binomial parameter. American Statistician, 34, 155–157.

    Article  MathSciNet  Google Scholar 

  3. Cacoullos, T. and Charalambides, Ch. (1975): On minimum variance unbiased estimation for truncated binomial and negative binomial distributions. Ann. Inst. Statist. Math., 27, 235–244.

    Article  MATH  MathSciNet  Google Scholar 

  4. Chaturvedi, A. and Tomer, S.K. (2002): Classical and Bayesian reliability estimation of the negative binomial distribution. Jour. Applied Statist. Sci., 11 (1), 33–43.

    MATH  MathSciNet  Google Scholar 

  5. Chew, V. (1971): Point estimation of the parameter of the binomial distribution. American Statistician, 25, 47–50.

    Article  Google Scholar 

  6. Glasser, G.J. (1962): Minimum variance unbiased estimators for Poisson probabilities. Technometrics, 4, 409–418.

    Article  MATH  MathSciNet  Google Scholar 

  7. Guttman, I. (1958): A note on a series solution of a problem in estimation. Biometrika, 45, 565–567.

    MATH  MathSciNet  Google Scholar 

  8. Halmos, P.R. (1946): The theory of unbiased estimation. Ann. Math. Statist., 17, 34–45.

    MATH  MathSciNet  Google Scholar 

  9. Irony, T.Z. (1992): Bayesian estimation for discrete distributions. Jour. Applied Statist., 19, 38–47.

    Google Scholar 

  10. Johnson, N.L. and Kotz, S. (1969): Discrete Distributions. John Wiley and Sons, New York.

    MATH  Google Scholar 

  11. Johnson, N.L., Kotz, S. and Kemp, A.W. (1992): Univariate Discrete Distributions. John Wiley and Sons, New York.

    MATH  Google Scholar 

  12. Kendall, M.G. and Stuart, A. (1958): The Advanced Theory of Statistics, 1. Hafner Publishing Company, New York.

    Google Scholar 

  13. Kolmogorov, A. (1950): Unbiased estimators. Izv. Akad. Nauk. SSSR, Ser. Math., 14, 303–326.

    MATH  MathSciNet  Google Scholar 

  14. Kumar, S. and Bhattacharya, S.K. (1989): Reliability estimation for negative binomial distribution. Assam Statist. Rev., 3, 104–107.

    Google Scholar 

  15. Maiti S.S. (1995): Estimation of P (X ≤ Y) in the geometric case. Jour. Indian Statist. Assoc., 33, 87–91.

    MathSciNet  Google Scholar 

  16. Patel, S.R. (1978): Minimum variance unbiased estimation of multivariate modified power series distribution. Metrika, 25, 155–161.

    Article  MATH  MathSciNet  Google Scholar 

  17. Patel, S.R. and Jani, P.N. (1977): On minimum variance unbiased estimation of generalized Poisson distribution and decapitated generalized Poisson distribution. Jour. Indian Statist. Assoc., 15, 151–159.

    MathSciNet  Google Scholar 

  18. Patil, G.P. (1963): Minimum variance unbiased estimation and certain problems of additive number theory. Ann. Math. Statist., 34, 1050–1056.

    MATH  MathSciNet  Google Scholar 

  19. Patil, G.P. and Bildikar, S. (1966): On minimum variance unbiased estimation for the logarithmic series distribution. Sankhyā, A28, 239–250.

    MathSciNet  Google Scholar 

  20. Patil, G.P. and Wani, J.K. (1966): Minimum variance unbiased estimation of the distribution function admitting a sufficient statistic. Ann. Inst. Statist. Math., 18, 39–47.

    Article  MATH  MathSciNet  Google Scholar 

  21. Pulskamp, R. (1990): A note on the estimation of binomial probabilities. American Statistician, 44, 293–295.

    Article  Google Scholar 

  22. Roy, J. and Mitra, S.K. (1957): Unbiased minimum variance estimation in a class of discrete distributions. Sankhyā, 18, 371–378.

    MATH  MathSciNet  Google Scholar 

  23. Voinov, V. and Nikulin, M. (1993): Unbiased Estimators and Their Applications, Vol.1, Univariate Case. Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  24. Voinov, V. and Nikulin, M. (1996): Unbiased Estimators and Their Applications, Vol.2, Multivariate Case. Kluwer Academic Publishers, Dordrecht.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chaturvedi, A., Tiwari, N. & Kumar, S. Some remarks on classical and bayesian reliability estimation of binomial and poisson distributions. Statistical Papers 48, 683–693 (2007). https://doi.org/10.1007/s00362-007-0363-2

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00362-007-0363-2

Key words

Navigation