The expected cumulative operational time for finite semi-Markov systems and estimation
Brahim Ouhbi; Ali Boudi; Mohamed Tkiouat
RAIRO - Operations Research (2007)
- Volume: 41, Issue: 4, page 399-410
- ISSN: 0399-0559
Access Full Article
topAbstract
topHow to cite
topOuhbi, Brahim, Boudi, Ali, and Tkiouat, Mohamed. "The expected cumulative operational time for finite semi-Markov systems and estimation." RAIRO - Operations Research 41.4 (2007): 399-410. <http://eudml.org/doc/250101>.
@article{Ouhbi2007,
abstract = {In this paper we, firstly, present a recursive formula of the
empirical estimator of the semi-Markov kernel. Then a non-parametric
estimator of the expected cumulative operational time for
semi-Markov systems is proposed. The asymptotic properties of this
estimator, as the uniform strongly consistency and normality are
given. As an illustration example, we give a numerical application.
},
author = {Ouhbi, Brahim, Boudi, Ali, Tkiouat, Mohamed},
journal = {RAIRO - Operations Research},
keywords = {Expected cumulative operational time; Semi-Markov process; Non-parametric
Estimation; semi-Markov process},
language = {eng},
month = {10},
number = {4},
pages = {399-410},
publisher = {EDP Sciences},
title = {The expected cumulative operational time for finite semi-Markov systems and estimation},
url = {http://eudml.org/doc/250101},
volume = {41},
year = {2007},
}
TY - JOUR
AU - Ouhbi, Brahim
AU - Boudi, Ali
AU - Tkiouat, Mohamed
TI - The expected cumulative operational time for finite semi-Markov systems and estimation
JO - RAIRO - Operations Research
DA - 2007/10//
PB - EDP Sciences
VL - 41
IS - 4
SP - 399
EP - 410
AB - In this paper we, firstly, present a recursive formula of the
empirical estimator of the semi-Markov kernel. Then a non-parametric
estimator of the expected cumulative operational time for
semi-Markov systems is proposed. The asymptotic properties of this
estimator, as the uniform strongly consistency and normality are
given. As an illustration example, we give a numerical application.
LA - eng
KW - Expected cumulative operational time; Semi-Markov process; Non-parametric
Estimation; semi-Markov process
UR - http://eudml.org/doc/250101
ER -
References
top- A. Boudi, Sur le contrôle adaptatif des populations de chaines de Markov finies. Thèse de 3ème cycle, Faculté des Sciences, Rabat, Morocco (1996).
- A. Huzurbazar, Flowgraph models for multistate Time-to-Event Data. Wiley, New York (2005).
- V.G. Kulkarni, V.F. Nicola and K.S. Trivedi, The completion time of a job on multimode systems. Adv. Appl. Probab.19 (1987) 932–954.
- N. Limnios and G. Oprişan, Semi-Markov Processes and Reliability. Birkhäuser, Boston (2001).
- N. Limnios, B. Ouhbi and A. Sadek, Empirical Estimator of Stationary Distribution For Semi-Markov Processes. Commun. Stat. Theory Methods34 (2003) 987–995.
- B. Ouhbi and N. Limnios, Non-parametric estimation for semi-Markov processes based on its hazard rate. Stat. Inference Stoch. Process.2 (1999) 151–173.
- B. Ouhbi and N. Limnios, Non-parametric estimation for semi-Markov kernels with application to reliability analysis. Appl. Stoch. Models Data Anal.12 (1996) 209–220.
- B. Ouhbi and N. Limnios, The Rate of Occurrence of Failures for Semi-Markov Processes and Estimation. Stat. Probab. Lett.59 (2001) 245–255.
- B. Ouhbi and N. Limnios, Non-parametric Reliability Estimation of Semi-Markov Processes. J. Stat. Plan. Inference109 (2003) 155–165.
- R. Pyke and R. Schaufele, The existence and uniqueness of stationary measures for Markov renewal processes. Ann. Math. Stat.37 (1966) 1439–1462.
- R. Pyke, Markov renewal processes: definitions and preliminary properties. Ann. Math. Stat.32 (1961) 1231–1241.
- R.M. Smith, K.S. Trivedi and A.V. Ramesh, Performability analysis : measures, an algorithm, and a case study. IEEE Trans. Comput.C-37 (1988) 406–417.
- A. Scenski, Cumulative operational time analysis of finite semi-Markov reliability models. Reliab. Eng. Syst. Saf.44 (1994) 17–25.
- S. Ross, Applied probability models with optimization applications. Dover New York (1992).
- G. Rubino and B. Sericola, Interval availability analysis using operational periods. Perform. Eval.14 (1992) 257–272.
- J. Janssen and N. Limnios Eds., Semi-Markov models and Applications. Kluwer Academic, Dordrecht (1999).
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.