Bayesian predictive density of order statistics based on finite mixture models

DOI10.1016/S0378-3758(01)00297-XzbMath1031.62019MaRDI QIDQ1869123

Essam K. AL-Hussaini

Publication date: 9 April 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

identifiabilityheterogeneous populationslifetime distributionstype I censoringtwo-sample prediction

Mathematics Subject Classification ID

Bayesian inference (62F15) Exact distribution theory in statistics (62E15) Order statistics; empirical distribution functions (62G30) Reliability and life testing (62N05)

Related Items (8)

ON BAYES PREDICTION OF FUTURE MEDIAN ⋮ Bayes two-sample prediction of generalized order statistics with fixed and random sample size ⋮ Prediction under an adaptive progressive type-II censoring scheme for Burr Type-XII distribution ⋮ Inference based on censored samples from exponentiated populations ⋮ One-sample Bayesian prediction intervals based on progressively type-II censored data from the half-logistic distribution under progressive stress model ⋮ Life prediction under random censorship ⋮ Bayes inference under a finite mixture of two-compound Gompertz components model ⋮ Bayesian prediction based on type-I censored data from a mixture of Burr type XII distribution and its reciprocal

Cites Work

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• Interval prediction for Pareto and exponential observables
• Bayesian approach to prediction and the spacings in the exponential distribution
• Predicting observables from a general class of distributions
• Bayesian prediction bounds for the Burr type XII distribution in the presence of outliers
• Remarks on the non-identifiability of mixtures of distributions
• Note on the multivariate Burr's distribution
• Bayesian prediction based on finite mixtures of lomax components model and type i censoring
• On Hierarchical Bayes Procedures for Predicting Simple Exponential Survival
• ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA
• Bayes Prediction in Exponential Life-Testing When Sample Size is a Random Variable
• Statistical analysis of finite mixture distributions
• Some prediction problems concerning samples from the pareto distribution
• The Predictive Sample Reuse Method with Applications
• Asymptotic prediction analysis
• Bayesian Approach to the Prediction Problem in the Exponential Population
• Parametric Prediction Bounds For The Future Median Of The Exponential Distribution
• A note on bayesian estimation and prediction for the beta-binomial model
• Bayesian prediction bounds for the burr type XII failure model
• On bayesian estimation and prediction from rayleigh based on type II censored data
• ON BAYES PREDICTION OF FUTURE MEDIAN
• The Bayesian Predictive Distribution in Life Testing Models
• A Generalized Bayes Rule for Prediction
• On the Identifiability of Finite Mixtures

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