Journal
STATISTICS & PROBABILITY LETTERS
Volume 193, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.spl.2022.109736
Keywords
Failure rate; Nonparametric test; TTT transform
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available