An exact test for hnbue class of life distributions

DOI10.1080/00949659808811891zbMath0931.62085OpenAlexW2259498984MaRDI QIDQ4212979

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Publication date: 21 February 2000

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659808811891

zbMATH Keywords

tablesconsistencyexponential distributioncritical valuesproduct limit estimatorconvex orderingrandomly right censored dataHNBUE

Mathematics Subject Classification ID

Testing in survival analysis and censored data (62N03)

Related Items (15)

Tests for exponentiality against the \({\mathcal M}\) and \({\mathcal {LM}}\)-classes of life distributions ⋮ On the exact distribution of generalized Hollander-Proschan type statistics ⋮ Tests for Stochastic Orders and Mean Order Statistics ⋮ TESTING NEW BETTER THAN RENEWAL USED LIFE DISTRIBUTIONS BASED ON U-TEST ⋮ A new test for exponentiality against HNBUE alternatives ⋮ Modeling of Discrete HNBUE Class with Hypothesis Testing Application ⋮ On HNBUE class after specific age ⋮ A weighted integral approach to testing against HNBUE alternatives ⋮ Moment inequality on new renewal better than used class of life distributions with hypothesis testing application. ⋮ A class of tests for exponentiality against HNBUE alternatives ⋮ On testing alternative classes of life distribution with guaranteed survival times ⋮ Testing renewal new better than used life distributions based on U-test ⋮ On testing the dilation order and HNBUE alternatives ⋮ A note on moments inequalities for the harmonic new better than used in expectation property with hypothesis testing application ⋮ Characterizations of exponentiality within the HNBUE class and related tests

Cites Work

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• An exact test for nbue class of survival functions
• Testing Whether New is Better than Used
• Properties of Probability Distributions with Monotone Hazard Rate
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification

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