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EUR 2,45
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Descrizione libro Condizione: New. Codice articolo 21280723-n
Descrizione libro HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo CX-9789814571159
Descrizione libro Condizione: new. Codice articolo 8bc350d93e0848075f9056ed5ef72ede
Descrizione libro Condizione: New. Codice articolo 21280723-n
Descrizione libro Hardcover. Condizione: new. Codice articolo 9789814571159
Descrizione libro Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Codice articolo ria9789814571159_lsuk
Descrizione libro HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo CX-9789814571159
Descrizione libro Hardcover. Condizione: Brand New. 2nd edition. 460 pages. 9.00x6.00x1.00 inches. In Stock. Codice articolo x-9814571156
Descrizione libro Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. InhaltsverzeichnisBasics of Probability Theory Markov Chains Markov Decision Processes The Exponential Distribution and Poisson Process Jump Markov Processes Elements of Queueing Theory Elements of Renewal Theory Elements of Time . Codice articolo 449944708
Descrizione libro Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is the expanded second edition of a successful textbook that provides a broad introduction to important areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation.The present edition adds new chapters on elements of stochastic calculus and introductory mathematical finance that logically complement the topics chosen for the first edition. This makes the book suitable for a larger variety of university courses presenting the fundamentals of modern stochastic modelling. Instead of rigorous proofs we often give only sketches of the arguments, with indications as to why a particular result holds and also how it is related to other results, and illustrate them by examples. Wherever possible, the book includes references to more specialised texts on respective topics that contain both proofs and more advanced material. Codice articolo 9789814571159