A Comparison of Estimation Methods for Gompertz Flexible Weibull Distribution
نویسندگان
چکیده
Gompertz flexible Weibull distribution is an extension of distribution. We tackle the problem estimation parameters discuss several methods for Maximum likelihood estimators, least squares weighted Anderson-Darling Cramer-von Mises estimators are considered. A Monte Carlo simulation study performed in order to compare these terms their biases and mean square errors. Also, real data applications presented illustrate usefulness obtain estimates based on five estimation.
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ژورنال
عنوان ژورنال: Erzincan University Journal of Science and Technology
سال: 2021
ISSN: ['1307-9085', '2149-4584']
DOI: https://doi.org/10.18185/erzifbed.777540