A class of tests for testing ‘new is better than used’

DOI10.2307/3315051zbMath0407.62077OpenAlexW2065200852MaRDI QIDQ4194337

Hira L. Koul

Publication date: 1978

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315051

zbMATH Keywords

ConsistencyPitman EfficiencyAsymptotic NormalityLife DistributionMonte Carlo MethodsUnbiased Tests

Mathematics Subject Classification ID

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

Related Items (10)

On distribution-free goodness-of-fit testing of exponentiality ⋮ Test for new better than used in convex ordering ⋮ A review of tests for exponentiality with Monte Carlo comparisons ⋮ Two-stage testing whether new is better than used ⋮ On testing exponentiality against IFRA alternatives ⋮ A class of test statistics for testing whether new is better than used ⋮ Testing whether survival function is bivariate new better than used ⋮ A Hollander-Proschan type test when ageing is not monotone ⋮ A test for detecting Laplace order dominance and related Bahadur efficiency issues ⋮ Tests for properties of the percentile residual life function

Cites Work

• A test for new better than used
• Weak Convergence of a Two-sample Empirical Process and a New Approach to Chernoff-Savage Theorems
• Testing Whether New is Better than Used
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