Author(s):
1. Yada Pornpakdee:
Department of Applied Mathematics and Statistics, Rajamangala University of Technology,Nakhon Ratchasima,Thailand
2. Tammarat Kleebmek:
Department of Applied Mathematics and Statistics, Rajamangala University of Technology,Nakhon Ratchasima,Thailand
Abstract:
The aim of this study is to develop the parameter estimation for the Fisher information "the Nile Problem." This paper will compare the new idea estimator in the sense of Bayesian estimation with Jeffreys's prior distribution and maximum likelihood method. This research simulates two independent data sets using the Mote Carlo Simulation. The results demonstrate that the proposed estimators show less mean squared error than maximum likelihood estimators. Monte Carlo simulations are illustrated to compare the efficiency of the estimators.
Page(s):
399-402
DOI:
DOI not available
Published:
Journal: Science International, Volume: 32, Issue: 4, Year: 2020
Keywords:
Jeffreys prior distribution
,
the Nile problem
,
Bayess estimator
References:
References are not available for this document.
Citations
Citations are not available for this document.