Bayesian prediction bounds for the burr type X model
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Publication:3135329
DOI10.1080/03610929108830633zbMath0850.62288OpenAlexW2033252984MaRDI QIDQ3135329
Muhammad Subhi abu-Salih, Hana Ahmad Sartawi
Publication date: 25 October 1993
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929108830633
Related Items (22)
A Family of Generalized Rayleigh-Exponential-Weibull Distribution and Its Application to Modeling the Progressively Type-I Interval Censored Data ⋮ Inference and prediction for the burr type x model based on records ⋮ The exponentiated Weibull distribution: a survey ⋮ Empirical Bayes estimation of \(P(Y<X)\) and characterizations of Burr-type \(X\) model ⋮ Bayesian prediction bounds from the scaled Burr type X model. ⋮ On the comparison of the Fisher information of the log-normal and generalized Rayleigh distributions ⋮ Discriminating between the generalized Rayleigh and Weibull distributions ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Goodness of fit test for the generalized Rayleigh distribution with unknown parameters ⋮ Generalized Rayleigh distribution: different methods of estimations ⋮ Control Charts for Monitoring Burr Type-X Percentiles ⋮ Some properties of a scaled Burr type X distribution ⋮ Inference for the generalized Rayleigh distribution based on progressively censored data ⋮ Comparison of Different Estimators ofP [Y < X for a Scaled Burr Type X Distribution] ⋮ Order statistics from the Burr type \(X\) model ⋮ A new lifetime model: the Kumaraswamy generalized Rayleigh distribution ⋮ Higher order inference for stress–strength reliability with independent Burr-typeXdistributions ⋮ Prediction Intervals for Future Order Statistics from a Generalized Modified Weibull ⋮ On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring ⋮ Stochastic comparisons of parallel systems with exponentiated Weibull components ⋮ Inferences for stress–strength reliability of Burr Type X distributions based on ranked set sampling
Cites Work
- Bayesian inferences given a type-2censored sample from a burr distribution
- Prediction bounds for the burr model
- Bayesian Approach to the Prediction Problem in the Exponential Population
- Prediction Intervals for the Weibull Process
- Prediction Intervals for the Exponential Distribution Using Subsets of the Data
- Prediction Intervals for the 2-Parameter Exponential Distribution Using Incomplete Data
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