Properties, Inference and Applications of Inverse Power Two-Parameter Weighted Lindley Distribution ()
ABSTRACT
We proposed “a new extension of three-parametric distribution” called the inverse power
two-parameter weighted Lindley (IPWL) distribution capable of modeling a
upside-down bathtub hazard rate function. This distribution is studied to get
basic structural properties such as reliability measures, moments, inverse
moments and its related measures. Simulation studies are done to present the performance and behavior of
maximum likelihood estimates of the IPWL distribution parameters. Finally, we
perform goodness of fit measures and test statistics using a real data set to
show the performance of the new distribution.
Share and Cite:
El-Monsef, M. and Al-Kzzaz, H. (2020) Properties, Inference and Applications of Inverse Power Two-Parameter Weighted Lindley Distribution.
Open Journal of Statistics,
10, 889-904. doi:
10.4236/ojs.2020.105052.
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