Bootstrapping estimators of P(Y<X) in the gamma case

DOI10.1080/00949658908811199zbMath0726.62058OpenAlexW2020730347MaRDI QIDQ3350495

Kenneth B. Constantine, Siu-Keung Tse, Marvin J. Karson

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1080/00949658908811199

zbMATH Keywords

MLEUMVUEparametric bootstrappingMann-Whitney type estimatornonparametric bootstrapping

Mathematics Subject Classification ID

Point estimation (62F10) Nonparametric statistical resampling methods (62G09)

Related Items (4)

Reliability for lifetime distributions ⋮ Inference about reliability parameter with gamma strength and stress ⋮ Confidence limits for stress-strength reliability involving Weibull models ⋮ Almost-exact parametric bootstrap calculation via the saddlepoint approximation

Cites Work

• Bootstrap methods: another look at the jackknife
• Computers and the Theory of Statistics: Thinking the Unthinkable
• Estimation of p(y<x) in the gamma case
• Estimation of pr[X>Y for gamma distributions]
• Statistical Inference for Pr(Y < X): The Normal Case
• On estimating P(X > Y) for the exponential distribution
• The estimation ofP(x < Y) for distributions useful in life testing
• Efficient Estimation of P(Y < X) in the Exponential Case
• Nonparametric Upper Confidence Bounds for Pr{Y < X} and Confidence Limits for Pr{Y < X} When X and Y are Normal
• The Estimation of Reliability from Stress-Strength Relationships
• The Estimation of Pr (Y < X) in the Normal Case

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