Bayesian inference for the power law process
From MaRDI portal
Publication:1260720
DOI10.1007/BF00053394zbMath0773.62020WikidataQ57090332 ScholiaQ57090332MaRDI QIDQ1260720
Benjamin Reiser, Shaul K. Bar-Lev, Idit Lavi
Publication date: 25 August 1993
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
predictionnonhomogeneous Poisson processreliability growthsoftware reliabilitypower law processexpected number of failuresfailure times of repairable systemsfailure truncated dataposterior densitiesprobability of no failurestime truncated dataunified methodology
Related Items
Bayesian Analysis of Stochastic Processes in Reliability, Bayesian prior information fusion for power law process via evidence theory, Bayesian inference for power law processes with applications in repairable systems, Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process, Unnamed Item, A Hierarchical Model of Nonhomogeneous Poisson Processes for Twitter Retweets, Bayesian Analysis of ARA Imperfect Repair Models, Bayesian estimation of the expected time of first arrival past a truncated time \(T\): the case of NHPP with power law intensity, On modeling change points in non-homogeneous Poisson processes, ACCOUNTING FOR MODEL UNCERTAINTY IN RELIABILITY ANALYSIS OF MECHANICAL REPAIRABLE EQUIPMENT, Bayesian inference and prediction analysis of the power law process based on a natural conjugate prior, Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach, Statistical inference and prediction for the Weibull process with incomplete observations, Bayesian Inference and Prediction Analysis of the Power Law Process Based on a Gamma Prior Distribution, Intrinsic Bayes factor approach to a test for the power law process., Resolvable block designs for factorial experiments., On estimating the current intensity of failure for the power-law process
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Inference on a future reliability parameter with the weibull process model
- Bayes inference for a non-homogeneous Poisson process with power intensity law (reliability)
- Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth
- On the Mean Time between Failures for Repairable Systems
- Some Results on Inference for the Weibull Process
- Prediction Intervals for the Weibull Process