نویسندگان | _ |
---|---|
نشریه | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE |
شماره صفحات | 665-677 |
شماره سریال | 28 |
شماره مجلد | 6 |
ضریب تاثیر (IF) | 0.565 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2021 |
رتبه نشریه | ISI |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | ISI،JCR |
چکیده مقاله
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