| Authors | _ |
|---|---|
| Journal | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE |
| Page number | 665-677 |
| Serial number | 28 |
| Volume number | 6 |
| IF | 0.565 |
| Paper Type | Full Paper |
| Published At | 2021 |
| Journal Grade | ISI |
| Journal Type | Typographic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | ISI،JCR |
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.
tags: Empirical distribution function; Goodness of fit tests; Lindley distribution; Monte Carlo simulation; Power of test