studies theory random processes von skorokhod (18 Ergebnisse)

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Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.55.

Zustand: Very Good. 1st Dover Edition. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Zustand: New. Brand New.

Paperback. Zustand: New.

Paperback. Zustand: 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.

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Paperback. Zustand: Brand New. 199 pages. 8.50x5.50x0.50 inches. In Stock.

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Couverture différente. Edition 1965. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1965. Ammareal gives back up to 15% of this item's net price to charity organizations.

Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. Translated from the Russian. First edition thus. Previous owner's name stamped on top and bottom edges and on title page, else very good in a very good (minor edge wear) dust jacket. B00DSK3QAA.

Hardcover. Zustand: Very Good. No Jacket. 1st. 1st American edition; grey c w/gilt titles, lite rubbing; 199 clean, unmarked pages.

Paperback. Zustand: 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.

Paperback. Zustand: 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.

paperback. Zustand: New. In shrink wrap. Looks like an interesting title!

Hardcover. Zustand: Fine. Zustand des Schutzumschlags: Very Good. First American edition. 8vo. [4], v-viii, 1-199, [1] pp. Grey cloth with gold lettering and gold rules on the spine. Adiwes International series in Mathematics. A closed tear to the jacket's front panel, sunning to the spine panel.