Tests for exponentiality against NBUE alternatives: a Monte Carlo comparison
M. Z. Anis, Kinjal Basu

TL;DR
This paper compares various statistical tests for exponentiality against NBUE alternatives using Monte Carlo simulations to evaluate their size and power across different sample sizes.
Contribution
It provides a comprehensive Monte Carlo comparison of tests for exponentiality against NBUE, offering guidance on test selection based on alternative suspicion.
Findings
Empirical sizes of tests are obtained through simulations.
Power comparisons highlight the most effective tests for various alternatives.
Recommendations are provided for choosing tests based on suspected alternatives.
Abstract
Testing of various classes of life distributions has been addressed in the literature for more than 45 years. In this paper, we consider the problem of testing exponentiality (which essentially implies no ageing) against positive ageing which is captured by the fairly large class of new better than used in expectation (NBUE) distributions. These tests of exponentiality against NBUE alternatives are discussed and compared. The empirical size of the tests is obtained by simulations. Power comparisons for different popular alternatives are done using Monte Carlo simulations. These comparisons are made for both small and large sample sizes. The paper concludes with a discussion in which suggestions are made regarding the choices of the test when a particular alternative is suspected.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
