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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability


ISSN: 1234-7655
eISSN: 2450-0291





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VOLUME 19 , ISSUE 4 (December 2018) > List of articles


V. Ranjbar / M. Alizadeh / G. G. Hademani

Keywords : Power Lindley distribution, Structural properties, Failure-time, Maximum likelihood estimation

Citation Information : Statistics in Transition New Series. Volume 19, Issue 4, Pages 621-643, DOI: https://doi.org/10.21307/stattrans-2018-033

License : (CC BY-NC-ND 4.0)

Published Online: 15-March-2019



In this study, we introduce a new model called the Extended Exponentiated Power Lindley distribution which extends the Lindley distribution and has increasing, bathtub and upside down shapes for the hazard rate function. It also includes the power Lindley distribution as a special case. Several statistical properties of the distribution are explored, such as the density, hazard rate, survival, quantile functions, and moments. Estimation using the maximum likelihood method and inference on a random sample from this distribution are investigated. A simulation study is performed to compare the performance of the different parameter estimates in terms of bias and mean square error. We apply a real data set to illustrate the applicability of the new model. Empirical findings show that proposed model provides better fits than other well-known extensions of Lindley distributions.

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