Langue: anglais
Edité par Springer-Verlag, 1981
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Ajouter au panier23,5 x 15,5 cm. Etat : Gut. 1. Auflage. 118 Seiten Innen sauberer, guter Zustand. Softcover, Broschur mit den blichen Bibliotheks-Markierungen, Stempeln und Einträ gen, innen wie au en, siehe Bilder. (Evtl. auch Kleber- und/oder Etikettenreste, sowie -abdrücke durch abgelöste Bibliotheksschilder). Reihe: Lecture Notes in Statistics 4. DC-10-7 Sprache: Englisch Gewicht in Gramm: 186.
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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.
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Ajouter au panierEtat : New. In.
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Ajouter au panierEtat : New. pp. 124.
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Ajouter au panierpaperback. Etat : New. In shrink wrap. Looks like an interesting title!
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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).
Langue: anglais
Edité par Springer, Humana Feb 1981, 1981
ISBN 10 : 0387905472 ISBN 13 : 9780387905471
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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.
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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.
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Ajouter au panierKartoniert / Broschiert. Etat : 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.
Langue: anglais
Edité par Springer, Copernicus Feb 1981, 1981
ISBN 10 : 0387905472 ISBN 13 : 9780387905471
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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 KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.