Muutke küpsiste eelistusi

E-raamat: Markov Chains and Stochastic Stability

  • Formaat - PDF+DRM
  • Hind: 184,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Markov Chains and Stochastic Stability is part of the Communications and Control Engineering Series (CCES) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over the past 20 years into something more accessible and complete. It is of increasing interest and importance. This publication deals with the action of Markov chains on general state spaces. It discusses the theories and the use to be gained, concentrating on the areas of engineering, operations research and control theory. Throughout, the theme of stochastic stability and the search for practical methods of verifying such stability, provide a new and powerful technique. This does not only affect applications but also the development of the theory itself. The impact of the theory on specific models is discussed in detail, in order to provide examples as well as to demonstrate the importance of these models. Markov Chains and Stochastic Stability can be used as a textbook on applied Markov chain theory, provided that one concentrates on the main aspects only. It is also of benefit to graduate students with a standard background in countable space stochastic models. Finally, the book can serve as a research resource and active tool for practitioners.

Muu info

Springer Book Archives
I Communication and Regeneration.- 1 Heuristics.- 2 Markov Models.- 3
Transition Probabilities.- 4 Irreducibility.- 5 Pseudo-atoms.- 6 Topology and
Continuity.- 7 The Nonlinear State Space Model.- II Stability Structures.- 8
Transience and Recurrence.- 9 Harris and Topological Recurrence.- 10 The
Existence of ?.- 11 Drift and Regularity.- 12 Invariance and Tightness.- III
Convergence.- 13 Ergodicity.- 14 -Ergodicity and -Regularity.- 15 Geometric
Ergodicity.- 16 V-Uniform Ergodicity.- 17 Sample Paths and Limit Theorems.-
18 Positivity.- 19 Generalized Classification Criteria.- IV Appendices.- A
Mud Maps.- A.l Recurrence versus transience.- A.2 Positivity versus nullity.-
A.3 Convergence Properties.- B Testing for Stability.- B.l A Glossary of
Drift Conditions.- B.2 The scalar SETAR Model: a complete classification.- C
A Glossary of Model Assumptions..- C.l Regenerative Models.- C.2 State Space
Models.- D Some Mathematical Background.- D.l Some Measure Theory.- D.2 Some
Probability Theory.- D.3 Some Topology.- D.4 Some Real Analysis.- D.5 Some
Convergence Concepts for Measures.- D.6 Some Martingale Theory.- D.7 Some
Results on Sequences and Numbers.- References.- Symbols Index.