European Journal of Statistics and Probability (EJSP)

EA Journals

Extended Power Lindley Distribution: A New Statistical Model For Non-Monotone Survival Data

Abstract

A new statistical model for non-monotone survival data is proposed with some of its statistical properties as an extension of power Lindley distribution. These include the density and hazard rate functions with their behavior, moments, moment generating function, skewness, kurtosis measures, and quantile function. Maximum likelihood estimation of the parameters and their estimated asymptotic distribution and confidence intervals are derived. Rényi entropy as a measure of the uncertainty in the model is derived. An application of the model to a real data set is presented and compared with the fit attained by other well-known existing distributions.

Keywords: Extended power Lindley distribution; power Lindley distribution; non-monotone survival data

cc logo

This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

Recent Publications

Email ID: submission@ea-journals.org
Impact Factor: 6.90
Print ISSN: 2055-0154
Online ISSN: 2055-0162
DOI: https://doi.org/10.37745/ejsp.2013

Author Guidelines
Submit Papers
Review Status

 

Scroll to Top

Don't miss any Call For Paper update from EA Journals

Fill up the form below and get notified everytime we call for new submissions for our journals.