Bayesian estimation for shifted exponential distributions

DOI10.1016/S0378-3758(95)00199-9zbMath1059.62528MaRDI QIDQ1125979

Mohamed T. Madi, Thomas Leonard

Publication date: 1996

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

zbMATH Keywords

RobustnessBayes estimatorsSquared error lossRisk improvementsScale parameter

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15)

Related Items (11)

Inference on stress–strength reliability for exponential distributions with a common scale parameter ⋮ Linear Bayes estimator for the two-parameter exponential family under type II censoring ⋮ Bayesian estimation and prediction with multiply type-II censored samples of sequential order statistics from one- and two-parameter exponential distributions ⋮ Bayes estimation for exponential distributions with common location parameter and applications to multi-state reliability models ⋮ Unnamed Item ⋮ Bayesian inference for the generalized exponential distribution ⋮ The life-span prediction of a system connected in series ⋮ Mixtures and diagnostic plots in modelling road traffic vehicle headways ⋮ Bayesian Inference for the Generalized Exponential Distribution Based on Progressively Censored Data ⋮ Unnamed Item ⋮ Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model

Cites Work

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• Statistical decision theory and Bayesian analysis. 2nd ed
• On location and scale parameters of exponential distributions with censored observations
• Bayesian inference for truncated exponential distributions
• Bayesian Prediction for the Left Truncated Exponential Distribution
• The Bayesian Predictive Distribution in Life Testing Models
• Estimation of the common scale of several shifted exponential distributions with unknown locations
• Life Testing and Reliability Estimation for the Two Parameter Exponential Distribution
• Life Testing
• Some Theorems Relevant to Life Testing from an Exponential Distribution

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