- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540973690
3540973699
9780387973692
0387973699
- Dimensions
-
24 cm
- Extent
-
XII, 355 S.
- Language
-
Englisch
- Notes
-
graph. Darst.
Literaturverz. S. 333 - 346
- Bibliographic citation
-
Applied probability ; Vol. 7
- Keyword
-
Markov-Kette mit stetiger Zeit
- Event
-
Veröffentlichung
- (where)
-
New York, Berlin, Heidelberg, London, Paris, Tokyo, Hong Kong, Barcelona
- (who)
-
Springer
- (when)
-
1991
- Creator
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:31 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Anderson, William J.
- Springer
Time of origin
- 1991
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Monotonicity and complete monotonicity for continuous-time Markov chains
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Reciprocal classes of continuous time Markov Chains
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Risk-Sensitive Stopping Problems for Continuous-Time Markov Chains
Monotonicity and complete monotonicity for continuous-time Markov chains
Scalable Inference in Graph-coupled Continuous-time Markov Chains
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Continuous-time Markov decision processes : theory and applications
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Markov random walks driven by general Markov Chains and their applications to Semi-Markov Queues
Multigrid methods for highdimensional, tensor structured continuous time Markov chains
Continuous time Markov chains and applications : a singular perturbation approach
Reciprocal classes of continuous time Markov Chains
Reciprocal classes of continuous time Markov Chains
Matrix Analysis for Continuous-Time Markov Chains
Risk-Sensitive Stopping Problems for Continuous-Time Markov Chains
Monotonicity and complete monotonicity for continuous-time Markov chains
Scalable Inference in Graph-coupled Continuous-time Markov Chains
Markov chains
Continuous-time Markov decision processes : theory and applications
Discrete time Markov chains : advanced applications in simulation
Markov random walks driven by general Markov Chains and their applications to Semi-Markov Queues