A class of tests for exponentiality against monotone failure rate alternatives with incomplete data

DOI10.1016/0378-3758(87)90074-7zbMath0616.62130OpenAlexW1985122896MaRDI QIDQ1821473

Alessandra Salvan, Luigi Pace

Publication date: 1987

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(87)90074-7

zbMATH Keywords

asymptotic distributionconsistencyPitman asymptotic relative efficiencyMonte Carlo trialstests for exponentialityrandomly right censored dataexpected value inequalitymonotone failure rate alternatives

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Reliability and life testing (62N05)

Cites Work

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• An invariant test for the exponential distribution against Weibull alternatives
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• Locally most powerful invariant tests for departures from exponentiality with incomplete data
• Two tests for monotone failure rate with incomplete data
• On a Class of Tests of Exponentiality
• A nonparametric test for the monotonicity of a failure rate function
• A Note on Tests for Monotone Failure Rate Based on Incomplete Data
• Tests for Monotone Failure Rate Based on Normalized Spacings
• An Optimum Test Property of Two Well-Known Statistics
• The Best Test of Exponentiality Against Gamma Alternatives

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