Tests for Increasing Failure Rate Average with Randomly Right Censored Data

DOI10.1080/02331888908802171zbMath0689.62034OpenAlexW1983150670MaRDI QIDQ3031779

No author found.

Publication date: 1989

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888908802171

zbMATH Keywords

asymptotic normalityPitman asymptotic relative efficienciesKaplan-Meyer estimatorrandomly right censored dataconsistent estimator of the null asymptotic varianceincreasing failure rate average distribution

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Reliability and life testing (62N05)

Related Items (1)

Estimating the Deviation from Exponentiality Under Random Censorship

Cites Work

• Unnamed Item
• Unnamed Item
• Large sample behaviour of the product-limit estimator on the whole line
• Testing whether new is better than used with randomly censored data
• Testing exponentiality against increasing failure rate with randomly censored data
• Testing for new is better than used in expectation
• A class of tests for exponentiality against increasing failure rate average alternatives
• Tests for the mean residual life
• A nonparametric test for the monotonicity of a failure rate function
• Tests for Monotone Failure Rate Based on Normalized Spacings
• Testing Whether New is Better than Used

This page was built for publication: Tests for Increasing Failure Rate Average with Randomly Right Censored Data