Predicting future lifetime based on random number of three parameters Weibull distribution

DOI10.1016/j.matcom.2011.02.003zbMath1232.65018OpenAlexW2026065184MaRDI QIDQ551478

Magdy E. El-Adll

Publication date: 20 July 2011

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2011.02.003

zbMATH Keywords

order statisticsMonte Carlo simulationpredicative intervalprobability coveragetruncated distributions

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Exact distribution theory in statistics (62E15) Order statistics; empirical distribution functions (62G30)

Related Items

Prediction of the exponential fractional upper record-values ⋮ Prediction and reconstruction of future and missing unobservable modified Weibull lifetime based on generalized order statistics ⋮ Two-sample nonparametric prediction intervals based on random number of generalized order statistics ⋮ Prediction of future censored lifetimes from mixture exponential distribution ⋮ Confidence intervals for quantiles based on samples of random sizes ⋮ Asymptotic predictive inference of negative lower tail index distributions ⋮ Predictive inference of dual generalized order statistics from the inverse Weibull distribution ⋮ Predicting future failure times by using quantile regression ⋮ Prediction intervals of future observations for a sample of random size from any continuous distribution ⋮ Prediction intervals for future lifetime of three parameters Weibull observations based on generalized order statistics ⋮ Prediction of future generalized order statistics based on exponential distribution with random sample size ⋮ Predicting future lifetime for mixture exponential distribution

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