Marshall-Olkin Half Logistic Distribution with Theory and Applications

Diren Yeğen and Gamze Özel

Alphanumeric Journal, 2018, vol. 6, issue 2, 407-416

Abstract: In this study we present a new distribution named as Marshall-Olkin Half Logistic (MOHL) by extending half logistic distribution to increase the flexibility. We derive some fundamental properties including survival function, hazard rate function, skewness, kurtosis, order statistics and entropy function. Parameters are estimated using maximum likelihood estimation method to fit new model. Then, a simulation study is conducted to show the performance of the proposed model

Keywords: Entropy; Half Logistic Distribution; Maximum Likelihood Estimation; Order Statistics; Simulation (search for similar items in EconPapers)
JEL-codes: C44 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:anm:alpnmr:v:6:y:2018:i:2:p:407-416

DOI: 10.17093/alphanumeric.409992

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