ISBN: 9780045190171 - stochastic processes (problem solvers): 14 (13 resultados)

Condición: Fair. Volume 14. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,200grams, ISBN:0045190178. …

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 100.

Condición: New. pp. 100 22:B&W 5.5 x 8.5 in or 216 x 140 mm (Demy 8vo) Perfect Bound on White w/Gloss Lam.

Condición: New. Series: Problem Solvers. Num Pages: 98 pages, 1 black & white illustrations, biography. BIC Classification: YQS. Category: (G) General (US: Trade). Dimension: 216 x 140 x 5. Weight in Grams: 140. . 1974. Paperback. . . . .

Condición: New. Series: Problem Solvers. Num Pages: 98 pages, 1 black & white illustrations, biography. BIC Classification: YQS. Category: (G) General (US: Trade). Dimension: 216 x 140 x 5. Weight in Grams: 140. . 1974. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1 What is a Stochastic Process .- 2 Results from Probability Theory.- 2.1 Introduction to probability theory.- 2.2 Bivariate distributions.- 2.3 Multivariate distributions.- 2.4 Probability generating functions.- 2.5 Characteristic functions.- 3 The Random Walk.- 3.1 The unrestricted random walk.- 3.2 Types of stochastic process.- 3.3 The gambler¿s ruin.- 3.4 Generalisations of the random-walk model.- 4 Markov Chains.- 4.1 Definitions.- 4.2 Equilibrium distributions.- 4.3 Applications.- 4.4 Classification of the states of a Markov chain.- 5 The Poisson Process.- 6 Markov Chalns with Continuous Time Parameters.- 6.1 The theory.- 6.2 Applications.- 7 Non-Markov Processes in Continuous Time with Discrete State Spaces.- 7.1 Renewal theory.- 7.2 Population processes.- 7.3 Queuing theory.- 8 Diffusion Processes.- Recommendations For Further Reading.…

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New. PRINT ON DEMAND pp. 100.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 1 What is a Stochastic Process.- 2 Results from Probability Theory.- 2.1 Introduction to probability theory.- 2.2 Bivariate distributions.- 2.3 Multivariate distributions.- 2.4 Probability generating functions.- 2.5 Characteristic functions.- 3 The Random .…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -1 What is a Stochastic Process .- 2 Results from Probability Theory.- 2.1 Introduction to probability theory.- 2.2 Bivariate distributions.- 2.3 Multivariate distributions.- 2.4 Probability generating functions.- 2.5 Characteristic functions.- 3 The Random Walk.- 3.1 The unrestricted random walk.- 3.2 Types of stochastic process.- 3.3 The gambler¿s ruin.- 3.4 Generalisations of the random-walk model.- 4 Markov Chains.- 4.1 Definitions.- 4.2 Equilibrium distributions.- 4.3 Applications.- 4.4 Classification of the states of a Markov chain.- 5 The Poisson Process.- 6 Markov Chalns with Continuous Time Parameters.- 6.1 The theory.- 6.2 Applications.- 7 Non-Markov Processes in Continuous Time with Discrete State Spaces.- 7.1 Renewal theory.- 7.2 Population processes.- 7.3 Queuing theory.- 8 Diffusion Processes.- Recommendations For Further Reading. 100 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1 What is a Stochastic Process .- 2 Results from Probability Theory.- 2.1 Introduction to probability theory.- 2.2 Bivariate distributions.- 2.3 Multivariate distributions.- 2.4 Probability generating functions.- 2.5 Characteristic functions.- 3 The Random Walk.- 3.1 The unrestricted random walk.- 3.2 Types of stochastic process.- 3.3 The gambler's ruin.- 3.4 Generalisations of the random-walk model.- 4 Markov Chains.- 4.1 Definitions.- 4.2 Equilibrium distributions.- 4.3 Applications.- 4.4 Classification of the states of a Markov chain.- 5 The Poisson Process.- 6 Markov Chalns with Continuous Time Parameters.- 6.1 The theory.- 6.2 Applications.- 7 Non-Markov Processes in Continuous Time with Discrete State Spaces.- 7.1 Renewal theory.- 7.2 Population processes.- 7.3 Queuing theory.- 8 Diffusion Processes.- Recommendations For Further Reading.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 100 pp. Englisch.…