期刊
STATISTICS & PROBABILITY LETTERS
卷 193, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.spl.2022.109736
关键词
Failure rate; Nonparametric test; TTT transform
This paper proposes a nonparametric test for detecting violations of the increasing hazard rate property, which is based on the distance between the empirical distribution function and a shape-constrained estimator. The test is consistent, and the power function is evaluated through simulations in critical cases.
This paper proposes a nonparametric test to detect violations of the increasing hazard rate property, based on the distance between the empirical distribution function and a shape-constrained estimator. The test is consistent. The behaviour of the power function in some critical cases is evaluated through simulations.(c) 2022 Elsevier B.V. All rights reserved.
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