Extended Generalized Lindley distribution: properties and applications

Authors

  • Vahid Ranjbar Golestan University
  • Morad Alizadeh Persian Gulf University
  • Emrah Altun Hacettepe University

DOI:

https://doi.org/10.30495/jme.v13i0.755

Keywords:

Lindley distribution, Structural properties, Failure-time, Maximum likelihood estimation

Abstract

In this study, we introduce a new model called the Extended Exponentiated PowerLindley distribution which extends the Lindley distribution and has increasing, bathtub andupside down shapes for the hazard rate function. It also includes the power Lindley distributionas a special case. Several statistical properties of the distribution are explored, such as thedensity, hazard rate, survival, quantile functions, and moments. Estimation using the maximumlikelihood method and inference on a random sample from this distribution are investigated. Asimulation study is performed to compare the performance of the di®erent parameter estimatesin terms of bias and mean square error. We apply a real data set to illustrate the applicabilityof the new model. Empirical ¯ndings show that proposed model provides better ¯ts than otherwell-known extensions of Lindley distributions.

Author Biographies

Vahid Ranjbar, Golestan University

department of statistics, Faculty of sciences

Morad Alizadeh, Persian Gulf University

Department of Statistics

Emrah Altun, Hacettepe University

Department of Statistics

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Published

2019-01-08

Issue

Vol. 13

Section

Vol. 13, No. 1, (2019)

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