Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9741792 | Journal of Statistical Planning and Inference | 2005 | 13 Pages |
Abstract
Flowgraph models are useful in a wide variety of systems engineering and survival analysis problems. They are especially useful for analyzing time-to-event data and constructing corresponding Bayes predictive distributions. When a continuous time semi-Markov process defines transition times between a finite number of states and interest focuses on estimating densities, survival/reliability and hazard functions, or predictive distributions, flowgraph models provide a way of presenting the model and an associated method for data analysis. The method is illustrated using data from a construction engineering project.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Aparna V. Huzurbazar,