Testing exponentiality against increasing failure rate with randomly censored data

DOI10.1080/02331888708802019zbMath0625.62089OpenAlexW2076070476MaRDI QIDQ3028159

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Publication date: 1987

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888708802019

zbMATH Keywords

asymptotic normalitycensored dataIFRexponentialincreasing failure ratelife distributionefficiency lossPitman asymptotic relative efficiency

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Parametric hypothesis testing (62F03) Reliability and life testing (62N05)

Related Items (5)

Nonparametric testing for a monotone hazard function via normalized spacings ⋮ On some tests for exponentiality against he alteraatives ⋮ Tests for increasing failure rate with randomly censored data ⋮ Tests for Increasing Failure Rate Average with Randomly Right Censored Data ⋮ Estimating the Deviation from Exponentiality Under Random Censorship

Cites Work

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• Large sample behaviour of the product-limit estimator on the whole line
• Testing whether new is better than used with randomly censored data
• Nonparametric Estimation from Incomplete Observations
• A nonparametric test for the monotonicity of a failure rate function
• Tests for Monotone Failure Rate Based on Normalized Spacings
• A Class of Statistics with Asymptotically Normal Distribution

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