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An introduction to stochastic modeling /

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, 4e, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectiv...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pinsky, Mark A., 1940- (Autor), Karlin, Samuel, 1923-2007 (Autor)
Otros Autores: Taylor, Howard M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington, MA : Academic Press/Elsevier, �2011.
Edición:Fourth edition.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Pinsky, Mark A.,  |d 1940-  |e author. 
245 1 3 |a An introduction to stochastic modeling /  |c Mark A. Pinsky, Samuel Karlin. 
250 |a Fourth edition. 
260 |a Burlington, MA :  |b Academic Press/Elsevier,  |c �2011. 
300 |a 1 online resource (xiv, 563 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
504 |a Includes bibliographical references (pages 541-542) and index. 
505 0 |a Introduction -- Conditional probability and conditional expectation -- Markov chains: introduction -- The long run behavior of Markov chains -- Poisson processes -- Continuous time Markov chains -- Renewal phenomena -- Brownian motion and related processes -- Queueing systems -- Random evolutions -- Characteristic functions and their applications. 
520 |a Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, 4e, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems. New to this edition: Realistic applications from a variety of disciplines integrated throughout the text, including more biological applications; Plentiful, completely updated problems; Completely updated and reorganized end-of-chapter exercise sets, 250 exercises with answers; New chapters of stochastic differential equations and Brownian motion and related processes; Additional sections on Martingale and Poisson process; Realistic applications from a variety of disciplines integrated throughout the text; Extensive end of chapter exercises sets, 250 with answers; Chapter 1-9 of the new edition are identical to the previous edition; New! Chapter 10 - Random Evolutions; New! Chapter 11- Characteristic functions and Their Applications. 
650 0 |a Stochastic processes. 
650 1 2 |a Stochastic Processes  |0 (DNLM)D013269 
650 6 |a Processus stochastiques.  |0 (CaQQLa)201-0002663 
650 7 |a Mathematics.  |2 eflch 
650 7 |a Stochastic processes  |2 fast  |0 (OCoLC)fst01133519 
650 7 |a Mathematics.  |2 hilcc 
650 7 |a Physical Sciences & Mathematics.  |2 hilcc 
650 7 |a Mathematical Statistics.  |2 hilcc 
650 7 |a Mathematics.  |2 thema 
650 7 |a Stochastics.  |2 thema 
650 7 |a Mathematics.  |2 ukslc 
700 1 |a Karlin, Samuel,  |d 1923-2007,  |e author. 
700 1 |i Expanded version of (work):  |a Taylor, Howard M.  |t Introduction to stochastic modeling. 
776 0 8 |i Print version:  |a Pinsky, Mark A., 1940-  |t Introduction to stochastic modeling.  |b 4th ed.  |d Amsterdam ; Boston : Academic Press, �2011  |z 9780123814166  |w (OCoLC)666246327 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780123814166  |z Texto completo