Authors | Majid Chahkandi |
---|---|
Journal | Communications in Statistics - Theory and Methods |
Page number | 5770-5778 |
Serial number | 47 |
Volume number | 47 |
IF | 0.311 |
Paper Type | Full Paper |
Published At | 2018 |
Journal Grade | ISI |
Journal Type | Typographic |
Journal Country | Iran, Islamic Republic Of |
Journal Index | JCR،Scopus |
Abstract
The exponential distribution has been used in life-testing and reliability studies. In this article, we first express the entropy of Type-I hybrid censoring scheme in terms of hazard function and provide an estimate of the entropy of Type-I hybrid censored data. Then, we construct a goodness-of-fit test statistic based on Kullback–Leibler information for Type-I hybrid censored data. The test statistic is used to test for exponentiality. A Monte Carlo simulation is conducted to obtain the power of the proposed test against various alternatives. Finally, a data example is presented for illustrative purpose.
tags: Entropy, Hybrid Type-I censoring, Kullback–Leibler information, Monte Carlo simulation, Power study, Test for exponentiality.