| Authors | _ |
|---|---|
| Journal | statistics optimization and information computing |
| Page number | 627-637 |
| Serial number | 10 |
| Volume number | 2 |
| Paper Type | Full Paper |
| Published At | 2022 |
| Journal Grade | ISI |
| Journal Type | Typographic |
| Journal Country | China |
| Journal Index | Scopus |
Abstract
In this article, a test statistic for testing the validity of the Lindley model based on the informational energy is proposed. Consistency of our test is shown. Through a simulation study, we obtain the critical values of the test statistic and then the power of the test is computed by Monte Carlo method against various alternatives. The performance of the proposed test with some competing tests is compared. Our results show that our test is superior to the classical nonparametric tests and can apply to a testing problem in practice. A real medical data set is presented and analyzed.