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Ajouter au panierEhem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Sl 178 3540905472 Sprache: Englisch Gewicht in Gramm: 550.
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Ajouter au panierperfect. Etat : Befriedigend. Seiten; 9783540905479.4 Gewicht in Gramm: 1.
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Edition originale
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Ajouter au panier8° , Softcover/Paperback. 1.Auflage,. vi, 118 Seiten Einband etwas berieben, Bibl.Ex., innen guter und sauberer Zustand 9783540905479 Sprache: Englisch Gewicht in Gramm: 184.
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Ajouter au panierEtat : Gut. 128 Seiten ex Library Book Sprache: Englisch Gewicht in Gramm: 198 23,5 x 15,5 x 0,7 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 1981.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - A stochastic process {X(t): 0 S t i}, i E S, are increasing (decreasing) with t on T. Stochastic monotonicity is a basic structural property for process behaviour. It gives rise to meaningful bounds for various quantities such as the moments of the process, and provides the mathematical groundwork for approximation algorithms. Obviously, stochastic monotonicity becomes a more tractable subject for analysis if the processes under consideration are such that stochastic mono tonicity on an inter val 0 t E implies stochastic monotonicity on the entire time axis. DALEY (1968) was the first to discuss a similar property in the context of discrete time Markov chains. Unfortunately, he called this property 'stochastic monotonicity', it is more appropriate, however, to speak of processes with monotone transition operators. KEILSON and KESTER (1977) have demonstrated the prevalence of this phenomenon in discrete and continuous time Markov processes. They (and others) have also given a necessary and sufficient condition for a (temporally homogeneous) Markov process to have monotone transition operators. Whether or not such processes will be stochas tically monotone as defined above, now depends on the initial state distribution. Conditions on this distribution for stochastic mono tonicity on the entire time axis to prevail were given too by KEILSON and KESTER (1977).
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Ajouter au panierEtat : New. pp. 124.
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Ajouter au panierPaperback. Etat : New.
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Ajouter au panierEtat : New.
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Ajouter au panierPaperback. Very Good Dust Jacket may be missing.CDs may be missing. book.
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Ajouter au panierpaperback. Etat : New. In shrink wrap. Looks like an interesting title!
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A stochastic process {X(t): 0 S t i}, i E S, are increasing (decreasing) with t on T. Stochastic monotonicity is a basi.
Edité par Springer New York, Springer US Feb 1981, 1981
ISBN 10 : 0387905472 ISBN 13 : 9780387905471
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A stochastic process {X(t): 0 S tSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 124 pp. Englisch.
Edité par Springer-Verlag New York Inc., 1981
ISBN 10 : 0387905472 ISBN 13 : 9780387905471
Langue: anglais
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 216.
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Ajouter au panierEtat : New. Print on Demand pp. 124 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 124.
Edité par Springer New York Feb 1981, 1981
ISBN 10 : 0387905472 ISBN 13 : 9780387905471
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 85,55
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A stochastic process {X(t): 0 S t i}, i E S, are increasing (decreasing) with t on T. Stochastic monotonicity is a basic structural property for process behaviour. It gives rise to meaningful bounds for various quantities such as the moments of the process, and provides the mathematical groundwork for approximation algorithms. Obviously, stochastic monotonicity becomes a more tractable subject for analysis if the processes under consideration are such that stochastic mono tonicity on an inter val 0 t E implies stochastic monotonicity on the entire time axis. DALEY (1968) was the first to discuss a similar property in the context of discrete time Markov chains. Unfortunately, he called this property 'stochastic monotonicity', it is more appropriate, however, to speak of processes with monotone transition operators. KEILSON and KESTER (1977) have demonstrated the prevalence of this phenomenon in discrete and continuous time Markov processes. They (and others) have also given a necessary and sufficient condition for a (temporally homogeneous) Markov process to have monotone transition operators. Whether or not such processes will be stochas tically monotone as defined above, now depends on the initial state distribution. Conditions on this distribution for stochastic mono tonicity on the entire time axis to prevail were given too by KEILSON and KESTER (1977). 124 pp. Englisch.