On estimating the current intensity of failure for the power-law process

DOI10.1016/S0378-3758(98)00116-5zbMath0945.62106MaRDI QIDQ1298993

Ananda Sen, Ravindra Khattree

Publication date: 12 October 2000

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

zbMATH Keywords

Gibbs samplingintensity functionPitman measure of closenesspower-law processminimum risk estimationfailure truncationJeffrey's priortime truncation

Mathematics Subject Classification ID

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

Related Items (3)

Bayesian inference for power law processes with applications in repairable systems ⋮ Bayesian inference and prediction analysis of the power law process based on a natural conjugate prior ⋮ Bayesian Inference and Prediction Analysis of the Power Law Process Based on a Gamma Prior Distribution

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian inference for the power law process
• Estimation of location and scale parameters using generalized Pitman nearness criterion
• Comparison of estimators of a dispersion matrix under generalized pitman nearness criterion
• Karlin's corollary: a topological approach to pitman's measure
• Some probability distributions connected with beta and gamma matrices
• Estimating the intensity function of a weibull process at the current time: failure truncated case
• Median Unbiasedness and Pitman Closeness
• Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth
• Bayesian Estimation and Prediction Using Asymmetric Loss Functions
• On Comparison Of Estimates Of Dispersion Using Generalized Pitman Nearness Criterion
• Inferences on the Parameters and Current System Reliability for a Time Truncated Weibull Process
• A Quasi-Bayes Estimate of the Failure Intensity of a Reliability-Growth Model
• Estimating the intensity function of a power law process at the current time: time truncated case
• Some Results on Inference for the Weibull Process
• The Selection of Prior Distributions by Formal Rules
• The pitman nearness criterion and its determination

This page was built for publication: On estimating the current intensity of failure for the power-law process