A TEST OF FIT FOR LINDLEY DISTRIBUTION

Authors

  • Hadi Alizadeh Noughabi University of Birjand, Birjand, Iran

DOI:

https://doi.org/10.23055/ijietap.2021.28.6.7085

Abstract

It is important to develop efficient goodness of fit test for Lindley distribution because it is one of the fundamental models applied for reliability models. This article introduces some test statistics for examining the Lindley goodness of fit based on the empirical distribution function. Critical points and the power of the tests are obtained by Monte Carlo simulation. We show that the proposed tests have a good performance against different alternatives, and therefore, these tests can be confidently used in practice. Finally, the proposed tests are illustrated by a real data example.

Published

2022-01-19

How to Cite

Alizadeh Noughabi, H. (2022). A TEST OF FIT FOR LINDLEY DISTRIBUTION. International Journal of Industrial Engineering: Theory, Applications and Practice, 28(6). https://doi.org/10.23055/ijietap.2021.28.6.7085

Issue

Section

Statistical Analysis