On Baysian Estimation of Loss of Estimators of Unknown Parameter of Binomial Distribution

Authors

  • Randhir Singh

DOI:

https://doi.org/10.34257/GJSFRFVOL22IS4PG37

Keywords:

Bayes Estimator, Loss Function, Risk Function, Binomial Distribution

Abstract

This paper aims at the Bayesian estimation for the loss and risk functions of the unknown parameter of the binomial distribution under the loss function which is different from that given by Rukhin 1988 The estimation involves beta distribution a natural conjugate prior density function for the unknown parameter Estimators obtained are conservatively biased and have finite frequentist risk

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How to Cite

Randhir Singh. (2022). On Baysian Estimation of Loss of Estimators of Unknown Parameter of Binomial Distribution. Global Journal of Science Frontier Research, 22(F4), 37–40. https://doi.org/10.34257/GJSFRFVOL22IS4PG37

 
On Baysian Estimation of Loss of Estimators of Unknown Parameter of Binomial Distribution

Published

2022-11-01

Issue

Vol. 22 No. F4 (2022): GJSFR-F Mathematics: Volume 22 Issue F4

Section

Articles

License

Copyright (c) 2022 Authors and Global Journals Private Limited

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.