Prediction Intervals for Future Order Statistics from a Generalized Modified Weibull
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Publication:2828764
DOI10.1080/03610918.2014.1002847zbMath1348.62083OpenAlexW2048507559MaRDI QIDQ2828764
Yu-Jau Lin, Hassan M. Okasha, Yuhlong Lio
Publication date: 26 October 2016
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2014.1002847
Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)
Uses Software
Cites Work
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- Predicting observables from a general class of distributions
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- One–sided simulataneous prediction intervals for the order statistics of a future samples from an exponential distribution
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Some prediction problems concerning samples from the pareto distribution
- Asymptotic prediction analysis
- ON BAYES PREDICTION OF FUTURE MEDIAN
- Bayesian prediction based on generalized order statistics using multiply type-II censoring
- Monte Carlo sampling methods using Markov chains and their applications
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