A class of test statistics for testing whether new is better than used

DOI10.1080/03610928308828460zbMath0524.62100OpenAlexW2061139175MaRDI QIDQ3036542

Yoshiki Kumazawa

Publication date: 1983

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928308828460

zbMATH Keywords

consistencyasymptotic normalitynew better than usedempirical processunbiasednessexponential

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Reliability and life testing (62N05)

Related Items (10)

Testing whether survival function is harmonic new better than used in expectation ⋮ Characterizations and testing hypotheses for NBRUL-\(t_0\) class of life distributions ⋮ TESTING NEW BETTER THAN RENEWAL USED LIFE DISTRIBUTIONS BASED ON U-TEST ⋮ A New test for whetherFis "More NBU" thanG ⋮ Two-stage testing whether new is better than used ⋮ On HNBUE class after specific age ⋮ Moment inequality on new renewal better than used class of life distributions with hypothesis testing application. ⋮ Testing renewal new better than used life distributions based on U-test ⋮ Testing whether survival function is bivariate new better than used ⋮ Testing exponentiality against renewal new better than used in Laplace transform order: applications in reliability

Cites Work

• On Interchanging Limits and Integrals
• A class of tests for testing ‘new is better than used’
• Weak Convergence of a Two-sample Empirical Process and a New Approach to Chernoff-Savage Theorems
• Asymptotic Normality of Linear Combinations of Functions of Order Statistics
• Functions of Order Statistics
• A Characterization of Certain Rank-Order Tests with Bounds for the Asymptotic Relative Efficiency

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