UID:
almatuudk_9923020479702884
Umfang:
1 online resource (450 p.)
Ausgabe:
2nd ed.
ISBN:
0-470-86428-1
,
1-280-27183-3
,
9786610271832
,
0-470-35833-5
,
0-470-01363-X
Inhalt:
An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic models can be for gaining insight into the behaviour of complex stochastic systems.
Anmerkung:
Bibliographic Level Mode of Issuance: Monograph
,
Preface. The Poisson Process and Related Processes. Renewal-Reward Processes. Discrete-Time Markov Chains. Continuous-Time Markov Chains. Markov Chains and Queues. Discrete-Time Markov Decision Processes. Semi-Markov Decision Processes. Advanced Renewal Theory. Algorithmic Analysis of Queueing Models. Appendices. Appendix A: Useful Tools in Applied Probability. Appendix B: Useful Probability Distributions. Appendix C: Generating Functions. Appendix D: The Discrete Fast Fourier Transform. Appendix E: Laplace Transform Theory. Appendix F: Numerical Laplace Inversion. Appendix G: The Root-Finding Problem. References. Index.
,
English
Weitere Ausg.:
ISBN 0-471-49881-5
Weitere Ausg.:
ISBN 0-471-49880-7
Sprache:
Englisch
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