A Point-Process Model Incorporating Renewals and Time Trends, With Application to Repairable Systems. Lawless, J. F. & Thiagarajah, K. Technometrics, 38(2):131–138, Taylor & Francis Group, 1996. abstract bibtex We discuss models for recurrent events that incorporate both time trends and effects of past events, such as renewal-type behavior. Inference procedures, including tests for trend, are developed and illustrated on repairable-systems failure data. Simulations are used to examine the accuracy of large-sample approximations used for tests or interval estimation.
@article{Lawless1996,
abstract = {We discuss models for recurrent events that incorporate both time trends and effects of past events, such as renewal-type behavior. Inference procedures, including tests for trend, are developed and illustrated on repairable-systems failure data. Simulations are used to examine the accuracy of large-sample approximations used for tests or interval estimation.},
author = {Lawless, J. F. and Thiagarajah, K.},
issn = {0040-1706},
journal = {Technometrics},
keywords = {Estimation ; Poisson Process ; Recurrent Events ; Renewal Process ; Simulation ; Trend Tests},
number = {2},
pages = {131--138},
publisher = {Taylor & Francis Group},
title = {A Point-Process Model Incorporating Renewals and Time Trends, With Application to Repairable Systems},
volume = {38},
year = {1996}
}
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