Bayes Inference Problems in Failure-Repair Processes
Gespeichert in:
Verfasser / Beitragende:
[Jürgen Franz, Yahia Abdel-Aty]
Ort, Verlag, Jahr:
2003
Enthalten in:
Economic Quality Control, 18/2(2003-10), 209-222
Format:
Artikel (online)
Online Zugang:
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| 245 | 0 | 0 | |a Bayes Inference Problems in Failure-Repair Processes |h [Elektronische Daten] |c [Jürgen Franz, Yahia Abdel-Aty] |
| 520 | 3 | |a This paper deals with the modelling of failure-repair processes, particularly with parameter estimation problems and Bayesian predictions of future jump time points. Bayesian estimation methods are applied to determine the values of process parameters and based on results on failure time distributions, predictions are derived for nonhomogeneous Poisson processes. | |
| 540 | |a © Heldermann Verlag | ||
| 690 | 7 | |a Marked point processes |2 nationallicence | |
| 690 | 7 | |a counting processes and nonhomogeneous Poisson processes |2 nationallicence | |
| 690 | 7 | |a Koziol-Green model for censoring |2 nationallicence | |
| 690 | 7 | |a Bayes parameter estimation |2 nationallicence | |
| 690 | 7 | |a Bayes prediction intervals |2 nationallicence | |
| 700 | 1 | |a Franz |D Jürgen |u Institut für Mathematische Stochastik, Technische Universität Dresden, D-01062 Dresden, Germany. franz@math.tu-dresden.de |4 aut | |
| 700 | 1 | |a Abdel-Aty |D Yahia |u Institut für Mathematische Stochastik, Technische Universität Dresden, D-01062 Dresden, Germany. yahia1970@yahoo.com |4 aut | |
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| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Franz |D Jürgen |u Institut für Mathematische Stochastik, Technische Universität Dresden, D-01062 Dresden, Germany. franz@math.tu-dresden.de |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Abdel-Aty |D Yahia |u Institut für Mathematische Stochastik, Technische Universität Dresden, D-01062 Dresden, Germany. yahia1970@yahoo.com |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Economic Quality Control |d Walter de Gruyter GmbH & Co. KG |g 18/2(2003-10), 209-222 |x 0940-5151 |q 18:2<209 |1 2003 |2 18 |o EQC | ||
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