A Point-Process Model Incorporating Renewals and Time Trends, with Application to Repairable Systems
From MaRDI portal
Publication:3125463
DOI10.2307/1270406zbMath0870.62075OpenAlexW1973018191MaRDI QIDQ3125463
No author found.
Publication date: 18 September 1997
Full work available at URL: https://doi.org/10.2307/1270406
Poisson processinterval estimationrenewal processtests for trendtime trendsaccuracy of large-sample approximationseffects of past eventsmodels for recurrent eventsrepairable systems failure data
Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)
Related Items (18)
A Bayesian semiparametric regression model for reliability data using effective age ⋮ Bayes inference for the modulated power law process ⋮ On the statistical modeling and analysis of repairable systems ⋮ Prediction of failure probability of oil wells ⋮ A multiple time scale survival model with a cure fraction ⋮ The Poisson-exponential model for recurrent event data: an application to bowel motility data ⋮ Binary geometric process model for the modeling of longitudinal binary data with trend ⋮ Pseudomartingale Estimating Equations for Modulated Renewal Process Models ⋮ Non-standard asymptotics in an inhomogeneous gamma process ⋮ Robust inference for bivariate point processes ⋮ Implications of model misspecification in robust tests for recurrent events ⋮ Reliability modelling and assessment of a heterogeneously repaired system with partially relevant recurrence data ⋮ Bayesian Analysis of a Superimposed Renewal Process ⋮ ACCOUNTING FOR MODEL UNCERTAINTY IN RELIABILITY ANALYSIS OF MECHANICAL REPAIRABLE EQUIPMENT ⋮ A Hybrid Scale Intensity Model for Recurrent Event Data ⋮ The exponential‐Poisson model for recurrent event data: An application to a set of data on malaria in Brazil ⋮ An Accelerated Model for Recurrence Data ⋮ Towards Practical and Synthetical Modelling of Repairable Systems
This page was built for publication: A Point-Process Model Incorporating Renewals and Time Trends, with Application to Repairable Systems