Title of article
Comparisons of Methods of Estimation for the Half-Logistic Distribution
Author/Authors
Asgharzadeh, A. university of mazandaran - School of Mathematical Sciences - Department of Statistics, بابلسر, ايران , Rezaie, R. university of mazandaran - School of Mathematical Sciences - Department of Statistics, بابلسر, ايران , Abdi, M. university of mazandaran - School of Mathematical Sciences - Department of Statistics, بابلسر, ايران
From page
93
To page
108
Abstract
In this paper, we consider several methods for estimating the location and scale parameters of the half-logistic distribution. The estimators considered are the maximum likelihood estimators, the approximate maximum likelihood estimators, method of moment estimators, estimators based on percentiles, least squares estimators, weighted least squares estimators and the estimators based on the linear combinations of order statistics. These estimators are compared via Monte Carlo simulations in terms of their biases and mean square errors.
Keywords
Half , logistic distribution , Maximum likelihood estimator , Monte Carlo simulation , Method of moment estimators , Least squares estimators , Weighted least squares estimators , Percentiles estimators , L , estimators
Journal title
Selcuk Journal of Applied Mathematics
Journal title
Selcuk Journal of Applied Mathematics
Record number
2551925
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