# Power Lindley distribution and software metrics

## TL;DR

This paper explores the properties of the power Lindley distribution, focusing on its moment-(in)determinacy, and demonstrates its application in modeling software metrics data.

## Contribution

It provides new theoretical results on the power Lindley distribution's moment-(in)determinacy and applies it to real software metrics data.

## Key findings

- Distribution's moment-(in)determinacy varies with parameters
- Application to software metrics data demonstrates practical utility
- New theoretical insights into the distribution's properties

## Abstract

The Lindley distribution and its numerous generalizations are widely used in statistical and engineering practice. Recently, a power transformation of Lindley distribution, called the power Lindley distribution, has been introduced by M. E. Ghitany et al., who initiated the investigation of its properties and possible applications. In this article, new results on the power Lindley distribution are presented. The focus of this work is on the moment-(in)determinacy of the distribution for various values of the parameters. Afterwards, certain applications are provided to describe data sets of software metrics.