International Journal of Management and Applied Science (IJMAS)
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Volume-4,Issue-8  ( Aug, 2018 )
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Statistics report
Nov. 2018
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 54
Paper Published : 3316
No. of Authors : 6857
  Journal Paper




Paper Title :
The Estimation Methods of the Standard Wald Distribution Parameter

Author :Kanyanat Kongkrob

Article Citation :Kanyanat Kongkrob , (2018 ) " The Estimation Methods of the Standard Wald Distribution Parameter " , International Journal of Management and Applied Science (IJMAS) , pp. 17-20, Volume-4,Issue-4

Abstract : In this paper we study of the performances of the methods for the estimation of the standard Wald distribution parameter. There are three estimation methods as follows: the maximum likelihood method, the adjusted parameter with term n  2/ n and the adjusted parameter with term n /n  2 . These methods are compared in terms of the absolute bias and the mean square errors. The comparison is based on the Monte Carlo simulation. Results of the simulation studies show that the maximum likelihood method outperforms the other methods where the estimator close to the parameter whereas the adjusted parameter with term n  2/ n outperforms the other methods where the estimator is greater than the parameter. While, the adjusted parameter with term n /n  2 outperforms the other methods where the estimator is less than the parameter. Keywords - Maximum Likelihood Estimate, Parameter Estimation, Standard Wald Distribution.

Type : Research paper

Indexed : Google Scholar


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