Slightly better than very good condition in a very good dustwrapper. Problem solvers no.14. A concise introduction to stochastic processes through fully worked examples. Suitable for mathematics undergraduates in their second or third years who are planning to take courses in stochastic processes. Inscription in ink to front pastedown. Page browning. Wrapper is price-cut, browned to spine with edge-creasing.
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Condition: 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. . . . . Seller Inventory # V9780045190171
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Condition: 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. Seller Inventory # V9780045190171
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Condition: 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 . Seller Inventory # 5886152
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9780045190171
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Taschenbuch. Condition: 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. Seller Inventory # 9780045190171