. .
Deutsch
Deutschland
Ähnliche Bücher
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Suchtools
Anmelden

Anmelden mit Facebook:

Registrieren
Passwort vergessen?


Such-Historie
Merkliste
Links zu eurobuch.com

Dieses Buch teilen auf…
..?
Buchtipps
Aktuelles
Tipp von eurobuch.com
FILTER
- 0 Ergebnisse
Kleinster Preis: 3.44 EUR, größter Preis: 103.49 EUR, Mittelwert: 41.21 EUR
Applied Mathematical Sciences: Markov Chain Models - Rarity and Exponentiality
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

Applied Mathematical Sciences: Markov Chain Models - Rarity and Exponentiality - Taschenbuch

1979, ISBN: 9780387904054

[ED: Taschenbuch / Paperback], [PU: Springer, Berlin], AUSFÜHRLICHERE BESCHREIBUNG: in failure time distributions for systems modeled by finite chains. This introductory chapter attempts to provide an over view of the material and ideas covered. The presentation is loose and fragmentary, and should be read lightly initially. Subsequent perusal from time to time may help tie the mat erial together and provide a unity less readily obtainable otherwise. The detailed presentation begins in Chapter 1, and some readers may prefer to begin there directly. O.l. Time-Reversibility and Spectral Representation. Continuous time chains may be discussed in terms of discrete time chains by a uniformizing procedure ( 2.l) that simplifies and unifies the theory and enables results for discrete and continuous time to be discussed simultaneously. Thus if N(t) is any finite Markov chain in continuous time governed by transition rates vmn one may write for pet) = [Pmn(t)] - P[N(t) = n I N(O) = m] pet) = exp [-vt(I - a )] (0.1.1) v where v Max r v ' and mn m n law 1 - v-I Hence N(t) where is governed r vmn Nk = NK(t) n K(t) is a Poisson process of rate v indep- by a ' and v dent of N - k Time-reversibility ( 1.3, 2.4, 2.S) is important for many reasons. A) The only broad class of tractable chains suitable for stochastic models is the time-reversible class. INHALT: 0. Introduction and Summary.- 1. Discrete Time Markov Chains Reversibility in Time.- 1.00. Introduction.- 1.0. Notation, Transition Laws.- 1.1. Irreducibility, Aperiodicity, Ergodicity Stationary Chains.- 1.2. Approach to Ergodicity Spectral Structure, Perron-Romanovsky-Frobenius Theorem.- 1.3. Time-Reversible Chains.- 2. Markov Chains in Continuous Time Uniformization Reversibility.- 2.00. Introduction.- 2.0. Notation, Transition Laws A Review.- 2.1. Uniformizable Chains - A Bridge Between Discrete and Continuous Time Chains.- 2.2. Advantages and Prevalence of Uniformizable Chains.- 2.3. Ergodicity for Continuous Time Chains.- 2.4. Reversibility for Ergodic Markov Chains in Continuous Time.- 2.5. Prevalence of Time-Reversibility.- 3. More on Time-Reversibility Potential Coefficients Process Modification.- 3.00. Introduction.- 3.1. The Advantages of Time-Reversibility.- 3.2. The Spectral Representation.- 3.3. Potentials Spectral Representation.- 3.4. More General Time-Reversible Chains.- 3.5. Process Modifications Preserving Reversibility.- 3.6. Replacement Processes.- 4. Potential Theory, Replacement, and Compensation.- 4.00. Introduction.- 4.1. The Green Potential.- 4.2. The Ergodic Distribution for a Replacement Process.- 4.3. The Compensation Method.- 4.4. Notation for the Homogeneous Random Walk.- 4.5. The Compensation Method Applied to the Homogeneous Random Walk Modified by Boundaries.- 4.6. Advantages of the Compensation Method. An Illustrative Example.- 4.7. Exploitation of the Structure of the Green Potential for the Homogeneous Random Walk.- 4.8. Similar Situations.- 5. Passage Time Densities in Birth-Death Processes Distribution Structure.- 5.00. Introduction.- 5.1. Passage Time Densities for Birth-Death Processes.- 5.2. Passage Time Moments for a Birth-Death Process.- 5.3. PF?, Complete Monotonicity, Log-Concavity and Log-Convexity.- 5.4. Complete Monotonicity and Log-Convexity.- 5.5. Complete Monotonicity in Time-Reversible Processes.- 5.6. Some Useful Inequalities for the Families CM and PF?.- 5.7. Log-Concavity and Strong Unimodality for Lattice Distributions.- 5.8. Preservation of Log-Concavity and Log-Convexity under Tail Summation and Integration.- 5.9. Relation of CM and PF? to IFR and DFR Classes in Reliability.- 6. Passage Times and Exit Times for More General Chains.- 6.00. Introduction.- 6.1. Passage Time Densities to a Set of States.- 6.2. Mean Passage Times to a Set via the Green Potential.- 6.3. Ruin Probabilities via the Green Potential.- 6.4. Ergodic Flow Rates in a Chain.- 6.5. Ergodic Exit Times, Ergodic Sojourn Times, and Quasi-Stationary Exit Times.- 6.6. The Quasi-Stationary Exit Time. A Limit Theorem.- 6.7. The Connection Between Exit Times and Sojourn Times. A Renewal Theorem.- 6.8. A Comparison of the Mean Ergodic Exit Time and Mean Ergodic Sojourn Time for Arbitrary Chains.- 6.9. Stochastic Ordering of Exit Times of Interest for Time-Reversible Chains.- 6.10. Superiority of the Exit Time as System Failure Time Jitter.- 7. The Fundamental Matrix, and Allied Topics.- 7.00. Introduction.- 7.1. The Fundamental Matrix for Ergodic Chains.- 7.2. The Structure of the Fundamental Matrix for Time-Reversible Chains.- 7.3. Mean Failure Times and Ruin Probabilities for Systems with Independent Markov Components and More General Chains.- 7.4. Covariance and Spectral Density Structure for Time-Reversible Processes.- 7.5. A Central Limit Theorem.- 7.6. Regeneration Times and Passage Times-Their Relation For Arbitrary Chains.- 7.7. Passage to a Set with Two States.- 8. Rarity and Exponentiality.- 8.0. Introduction.- 8.1. Passage Time Density Structure for Finite Ergodic Chains the Exponential Approximation.- 8.2. A Limit Theorem for Ergodic Regenerative Processes.- 8.3. Prototype Behavior: Birth-Death Processes Strongly Stable Systems.- 8.4. Limiting Behavior of the Ergodic and Quasi-stationary Exit Time Densities and Sojourn Time D, [SC: 3.00], Neuware, gewerbliches Angebot, H: 234mm, B: 156mm, T: 11mm, [GW: 299g]

Neues Buch Booklooker.de
Syndikat Buchdienst
Versandkosten:Versand nach Österreich (EUR 3.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Markov Chain Models - Rarity and Exponentiality - J. Keilson
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)

J. Keilson:

Markov Chain Models - Rarity and Exponentiality - neues Buch

ISBN: 9780387904054

ID: e09e2c82678620c97a662b7c6566100d

in failure time distributions for systems modeled by finite chains. This introductory chapter attempts to provide an over view of the material and ideas covered. The presentation is loose and fragmentary, and should be read lightly initially. Subsequent perusal from time to time may help tie the mat erial together and provide a unity less readily obtainable otherwise. The detailed presentation begins in Chapter 1, and some readers may prefer to begin there directly., [PU: Springer]

Neues Buch Dodax.de
Versandkosten:Versandkosten: 0.0 EUR, Lieferzeit: 5 Tage, DE. (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Markov Chain Models--Rarity and Exponentiality (Applied Mathematical Sciences 28) - Keilson, J
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Keilson, J:
Markov Chain Models--Rarity and Exponentiality (Applied Mathematical Sciences 28) - gebrauchtes Buch

ISBN: 9780387904054

ID: 905043688

Springer. Used - Good. A sound copy with only light wear. Overall a solid copy at a great price! All orders guaranteed and ship within 24 hours. Your purchase supports More Than Words, a nonprofit job training program for youth, empowering youth to take charge of their lives by taking charge of a business., Springer

gebrauchtes bzw. antiquarisches Buch Biblio.com
More Than Words Inc.
Versandkosten: EUR 7.97
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Markov Chain Models--Rarity and Exponentiality (Applied Mathematical Sciences 28) - J. Keilson
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
J. Keilson:
Markov Chain Models--Rarity and Exponentiality (Applied Mathematical Sciences 28) - Taschenbuch

1979, ISBN: 9780387904054

ID: 446260226

Springer, 1979-04-23. Paperback. Good. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service., Springer, 1979-04-23

gebrauchtes bzw. antiquarisches Buch Biblio.com
Ergodebooks
Versandkosten: EUR 13.95
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Markov Chain Models--Rarity and Exponentiality (Applied Mathematical Sciences 28) - J. Keilson
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
J. Keilson:
Markov Chain Models--Rarity and Exponentiality (Applied Mathematical Sciences 28) - Taschenbuch

ISBN: 9780387904054

ID: 910508682

Paperback. Very Good.

gebrauchtes bzw. antiquarisches Buch Biblio.com
SHIP_UK_FAST
Versandkosten: EUR 26.04
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.

< zum Suchergebnis...
Details zum Buch
Markov Chain Models - Rarity and Exponentiality (Applied Mathematical Sciences)
Autor:

Keilson, Julian; Keilson, J.

Titel:

Markov Chain Models - Rarity and Exponentiality (Applied Mathematical Sciences)

ISBN-Nummer:

9780387904054

Detailangaben zum Buch - Markov Chain Models - Rarity and Exponentiality (Applied Mathematical Sciences)


EAN (ISBN-13): 9780387904054
ISBN (ISBN-10): 0387904050
Taschenbuch
Erscheinungsjahr: 1979
Herausgeber: SPRINGER VERLAG GMBH
208 Seiten
Gewicht: 0,318 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 29.02.2008 08:19:39
Buch zuletzt gefunden am 17.11.2016 10:37:42
ISBN/EAN: 9780387904054

ISBN - alternative Schreibweisen:
0-387-90405-0, 978-0-387-90405-4

< zum Suchergebnis...
< zum Archiv...
Benachbarte Bücher