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Abstract
This paper is concerned with the modifications of maximum likelihood, moments and percentile estimators of the two parameter Power function distribution. Sampling behavior of the estimators is indicated by Monte Carlo simulation. For some combinations of parameter values, some of the modified estimators appear better than the traditional maximum likelihood, moments and percentile estimators with respect to bias, mean square error and total deviation.
Keywords
Parameter estimation
percentile estimators
maximum likelihood estimators
moment estimators
modified estimators
monte carlo study
total deviation
mean square error.
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How to Cite
Zaka, A., & Akhter, A. S. (2014). Modified Moment, Maximum Likelihood and Percentile Estimators for the Parameters of the Power Function Distribution. Pakistan Journal of Statistics and Operation Research, 10(4), 369-388. https://doi.org/10.18187/pjsor.v10i4.614
