Editore: New York, Springer [1995]., 1995
ISBN 10: 0387945474 ISBN 13: 9780387945477
Lingua: Inglese
Da: Antiquariat Bookfarm, Löbnitz, Germania
EUR 18,80
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 LAS 9780387945477 Sprache: Englisch Gewicht in Gramm: 1150.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 217,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 231,79
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 145,83
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | This book gives a self-contained introduction to the dynamic martingale approach to marked point processes (MPP). Based on the notion of a compensator, this approach gives a versatile tool for analyzing and describing the stochastic properties of an MPP. In particular, the authors discuss the relationship of an MPP to its compensator and particular classes of MPP are studied in great detail. The theory is applied to study properties of dependent marking and thinning, to prove results on absolute continuity of point process distributions, to establish sufficient conditions for stochastic ordering between point and jump processes, and to solve the filtering problem for certain classes of MPPs.
Da: moluna, Greven, Germania
EUR 197,62
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book gives a self-contained introduction to the dynamic martingale approach to marked point processes (MPP). Based on the notion of a compensator, this approach gives a versatile tool for analyzing and describing the stochastic properties of an MPP. In.