Statistical inference for the Rayleigh model based on progressively type-II censored data

DOI10.1080/02331880500520714zbMath1106.62109OpenAlexW2103582453MaRDI QIDQ3426336

M. A. M. Ali Mousa, S. A. al-Sagheer

Publication date: 8 March 2007

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880500520714

zbMATH Keywords

Monte Carlo simulationuniform distributionBayesian estimationRayleigh distributionprogressively type-II censoring

Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (12)

Predictive Inference from the Half-Normal Model Given a Type II Censored Sample ⋮ Exact interval inference for the two-parameter Rayleigh distribution based on the upper record values ⋮ Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples ⋮ Generalized Ng–Kundu–Chan model of adaptive progressive Type‐II censoring and related inference ⋮ Inferential statistics from Black Hispanic breast cancer survival data ⋮ Predictive inference for a future response using symmetrically trimmed sample from the half-normal model ⋮ Improved Predictive Inference for Responses Based on Location Parameter Median from the Rayleigh Model Given a Doubly Censored Sample ⋮ Predictive Inference from a Two-Parameter Rayleigh Life Model Given a Doubly Censored Sample ⋮ Inference for the generalized Rayleigh distribution based on progressively censored data ⋮ Tolerance limits for minimal repair times of a series system with Rayleigh distributed component lifetimes ⋮ Inference from the Exponentiated Weibull Model with Applications to Real Data ⋮ One- and two-sample prediction for the progressively censored Rayleigh residual data

Cites Work

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• Some properties of progressive censored order statistics from arbitrary and uniform distributions with applications to inference and simulation.
• Bayesian inference from type II doubly censored Rayleigh data
• Statistical inference for the Burr model based on progressively censored data
• Bayesian prediction for progressively censored data from the Burr model
• Credible and HPD Intervals of the Parameter and Reliability of Rayleigh Distribution
• Interval Estimation of Parameters of Life from Progressively Censored Data
• Comparison of linex and quadratic bayes estimators foe the rayleigh distribution
• Inference and prediction for pareto progressively censored data
• Relationships Between Biased and Unbiased Rayleigh Distributions

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