European Journal of Statistics and Probability (EJSP)

EA Journals

An Empirical Study on Modified Maximum Likelihood Estimator and Maximum Likelihood Estimator for Inverse Weibull Distribution by Using Type Ii Censored Sample


Parameter estimation become complicated when censoring is present in the sample Some time it is not possible to give a mathematical expression of estimated values of parameters in Maximum Likelihood (ML) method. .Dayyeh and Sawi (1996) used the Mehrotra and Nanda (1974) MML technique. They replaced the intractable term of likelihood equations with its expectation, to get the estimators of location parameter by considering the scale parameter equal to 1 of logistic distribution in right Type ll censored sample. Kambo (1978) derived the explicit solution for ML estimator of two parameter exponential distribution in the case of doubly type ll censored sample. In this paper MML estimator and ML estimator of inverse weibull distribution by using type II censored sample have been derived and compared in term of asymptotic variances and mean square error. The purpose of conducting the empirical study is to study the closeness of MML estimators to ML estimator, and relative efficiency of censored sample to complete sample.

Keywords: Asymptotic Variances, Bias, Inverse weibull distribution Order Statistics, Maximum Likelihood Estimator, Mean Square Error, Modified Maximum Likelihood Estimator, Type II censored sample

cc logo

This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License


Recent Publications

Email ID:
Impact Factor: 6.90
Print ISSN: 2055-0154
Online ISSN: 2055-0162

Author Guidelines
Submit Papers
Review Status


Scroll to Top

Don't miss any Call For Paper update from EA Journals

Fill up the form below and get notified everytime we call for new submissions for our journals.