Marshall-Olkin Lindley-Log-logistic distribution: Model, properties and applications

Author:

Moakofi Thatayaone1,Oluyede Broderick1,Makubate Boikanyo1

Affiliation:

1. Mathematics and Statistical Sciences , Botswana International University of Science and Technology , , Boseja , Palapye , Botswana

Abstract

Abstract The authors introduce a new generalized distribution called the Marshall-Olkin Lindley-Log-logistic (MOLLLoG) distribution and discuss its distributional properties. The properties include hazard function, quantile function, moments, conditional moments, mean and median deviations, Bonferroni and Lorenz curves, distribution of the order statistics and Rényi entropy. A Monte Carlo simulation study was used to examine the bias, relative bias and mean square error of the maximum likelihood estimators. The betterness of the new distribution compared to other distributions is illustrated by means of two real life datasets.

Publisher

Walter de Gruyter GmbH

Subject

General Mathematics

Reference29 articles.

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