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  • Search: subject:"Birth–death process"
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Year of publication
Subject
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Reliability 4 Chapman–Kolmogorov differential equations 2 Crystallization system 2 Fault-tolerant system 2 Fuzzy availability 2 Markov birth-death process 2 Markov birth–death process 2 Markov chain 2 Markov-Kette 2 Birth-death process 1 Business process management 1 Continuous time 1 Counting Markov process 1 Environmental stochasticity 1 Fertility 1 Fertilität 1 Fuzzy sets 1 Fuzzy-Set-Theorie 1 Infinitesimal over-dispersion 1 Probability theory 1 Prozessmanagement 1 Simultaneous events 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 Wahrscheinlichkeitsrechnung 1
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Online availability
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Free 5
Type of publication
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Article 4 Book / Working Paper 1
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 5
Author
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Aggarwal, Anil Kr. 4 Kumar, Sanjeev 4 Singh, Vikram 4 Garg, Tarun Kr. 2 Bretó, Carles 1 Ionides, Edward L. 1
Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Journal of Industrial Engineering International 2 Journal of industrial engineering international 2 Statistics and Econometrics Working Papers 1
Source
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ECONIS (ZBW) 2 EconStor 2 RePEc 1
Showing 1 - 5 of 5
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Mathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant
Aggarwal, Anil Kr.; Kumar, Sanjeev; Singh, Vikram - In: Journal of Industrial Engineering International 13 (2017) 1, pp. 47-58
The binary states, i.e., success or failed state assumptions used in conventional reliability are inappropriate for reliability analysis of complex industrial systems due to lack of sufficient probabilistic information. For large complex systems, the uncertainty of each individual parameter...
Persistent link: https://www.econbiz.de/10011773031
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Cover Image
Mathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant
Aggarwal, Anil Kr.; Kumar, Sanjeev; Singh, Vikram - In: Journal of industrial engineering international 13 (2017) 1, pp. 47-58
The binary states, i.e., success or failed state assumptions used in conventional reliability are inappropriate for reliability analysis of complex industrial systems due to lack of sufficient probabilistic information. For large complex systems, the uncertainty of each individual parameter...
Persistent link: https://www.econbiz.de/10011563570
Saved in:
Cover Image
Markov modeling and reliability analysis of urea synthesis system of a fertilizer plant
Aggarwal, Anil Kr.; Kumar, Sanjeev; Singh, Vikram; … - In: Journal of Industrial Engineering International 11 (2015), pp. 1-14
system was modeled using Markov birth-death process with the assumption that the failure and repair rates of each subsystem …
Persistent link: https://www.econbiz.de/10011640834
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Cover Image
Markov modeling and reliability analysis of urea synthesis system of a fertilizer plant
Aggarwal, Anil Kr.; Kumar, Sanjeev; Singh, Vikram; … - In: Journal of industrial engineering international 11 (2015), pp. 1-14
system was modeled using Markov birth–death process with the assumption that the failure and repair rates of each subsystem …
Persistent link: https://www.econbiz.de/10011556823
Saved in:
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Compound Markov counting processes and their applications to modeling infinitesimally over-dispersed systems
Bretó, Carles; Ionides, Edward L. - Departamento de Estadistica, Universidad Carlos III de … - 2011
We propose an infinitesimal dispersion index for Markov counting processes. We show that, under standard moment existence conditions, a process is infinitesimally (over-) equi-dispersed if, and only if, it is simple (compound), i.e. it increases in jumps of one (or more) unit(s), even though...
Persistent link: https://www.econbiz.de/10009149967
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