Lord, D. and Geedipally, S.R. (2011) The Negative Binomial-Lindley Distribution as a Tool for Analyzing Crash Data Characterized by a Large Amount Of Zeros. Accident Analysis & Prevention, 43, 1738-1742.
https://doi.org/10.1016/j.aap.2011.04.004

has been cited by the following article:

• TITLE: Size Biased Lindley Distribution and Its Properties a Special Case of Weighted Distribution

  AUTHORS: Arooj Ayesha

  KEYWORDS: Lindley Distribution, Weighted Distribution, Size Biased, Survival Function, Hazard Function

  JOURNAL NAME: Applied Mathematics, Vol.8 No.6, June 19, 2017

  ABSTRACT: The purpose of this paper is to introduce a size biased Lindley distribution which is a special case of weighted distributions. Weighted distributions have practical significance where some types of biased occur in a density function, i.e. probability is proportional to the size of the variate, that’s why the proposed version of size biased Lindley is designed for such situations more reasonably and more precisely. Principle properties of the density function are also discussed in this paper such as moments, measure of skewness, kurtosis, moment generating function, characteristics generating function, coefficient of variation, survival function and hazard function which are derived for understanding the structure of the proposed distribution more briefly.