Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
EUR 13,46
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New.
Lingua: Inglese
Editore: Dover Publications Inc., New York, 2017
ISBN 10: 0486642402 ISBN 13: 9780486642406
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This text is devoted to the development of certain probabilistic methods in the specific field of stochastic differential equations and limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important theorems as well as a remarkable amount of advanced material in compact form. The treatment begins by introducing the basic facts of the theory of random processes and constructing the auxiliary apparatus of stochastic integrals. All proofs are presented in full. Succeeding chapters explore the theory of stochastic differential equations, permitting the construction of a broad class of Markov processes on the basis of simple processes. The final chapters are devoted to various limit theorems connected with the convergence of a sequence of Markov chains to a Markov process with continuous time. Topics include the probability method of estimating how fast the sequence converges in the limit theorems and the precision of the limit theorems. Three-part treatment introduces basics plus theory of stochastic differential equations and various limit theorems connected with convergence of sequence of Markov chains to Markov process with continuous time. 1965 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 14,21
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 199 pages. 8.50x5.50x0.50 inches. In Stock.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 18,00
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New. 1982. 1st Dover Edition. Paperback. . . . . .
Condizione: New. 1982. 1st Dover Edition. Paperback. . . . . . Books ship from the US and Ireland.
EUR 16,67
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 21,45
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 21,44
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Dover Publications Inc., New York, 2017
ISBN 10: 0486642402 ISBN 13: 9780486642406
Da: CitiRetail, Stevenage, Regno Unito
EUR 21,45
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This text is devoted to the development of certain probabilistic methods in the specific field of stochastic differential equations and limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important theorems as well as a remarkable amount of advanced material in compact form. The treatment begins by introducing the basic facts of the theory of random processes and constructing the auxiliary apparatus of stochastic integrals. All proofs are presented in full. Succeeding chapters explore the theory of stochastic differential equations, permitting the construction of a broad class of Markov processes on the basis of simple processes. The final chapters are devoted to various limit theorems connected with the convergence of a sequence of Markov chains to a Markov process with continuous time. Topics include the probability method of estimating how fast the sequence converges in the limit theorems and the precision of the limit theorems. Three-part treatment introduces basics plus theory of stochastic differential equations and various limit theorems connected with convergence of sequence of Markov chains to Markov process with continuous time. 1965 edition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Dover Publications Inc., New York, 2017
ISBN 10: 0486642402 ISBN 13: 9780486642406
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 34,21
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This text is devoted to the development of certain probabilistic methods in the specific field of stochastic differential equations and limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important theorems as well as a remarkable amount of advanced material in compact form. The treatment begins by introducing the basic facts of the theory of random processes and constructing the auxiliary apparatus of stochastic integrals. All proofs are presented in full. Succeeding chapters explore the theory of stochastic differential equations, permitting the construction of a broad class of Markov processes on the basis of simple processes. The final chapters are devoted to various limit theorems connected with the convergence of a sequence of Markov chains to a Markov process with continuous time. Topics include the probability method of estimating how fast the sequence converges in the limit theorems and the precision of the limit theorems. Three-part treatment introduces basics plus theory of stochastic differential equations and various limit theorems connected with convergence of sequence of Markov chains to Markov process with continuous time. 1965 edition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 15,85
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Über den AutorrnrnA. V. Skorokhod (1930-2011) was a Soviet mathematician and academician. KlappentextrnrnThree-part treatment introduces basics plus theory of stochastic differential equations and various limit theorems .
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!