02837 a2200217 4500999001900000008004500019020001800064082001700082100003100099245004200130250000800172260003200180300001600212440004100228520204900269650003302318650005902351700003602410942001202446952016102458 c209609d209609180626b2018 ||||| |||| 00| 0 eng d a9781498778114 a519.23bJ6S8 aJones, Peter Watts9366376 aStochastic processes: an introduction a3rd bCRC Pressc2018aBoca Raton axiv, 255 p. aTexts in Statistical Science9366377 aFeatures
Illustrates discrete random processes through the classical gambler’s ruin problem and its variants
Covers continuous random processes, such as Poisson and general population models
Describes applications of probability to modelling problems in engineering, medicine, and biology
Uses Mathematica and R to solve both theoretical and numerical examples to produce many graphs
Provides problem solutions and Mathematica® and R programs on crcpress.com
Provides an introduction to Brownian motion
Summary
Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental probability. It then covers gambling problems, random walks, and Markov chains. The authors go on to discuss random processes continuous in time, including Poisson, birth and death processes, and general population models, and present an extended discussion on the analysis of associated stationary processes in queues.
The book also explores reliability and other random processes, such as branching, martingales, and simple epidemics. A new chapter describing Brownian motion, where the outcomes are continuously observed over continuous time, is included. Further applications, worked examples and problems, and biographical details have been added to this edition. Much of the text has been reworked. The appendix contains key results in probability for reference.
This concise, updated book makes the material accessible, highlighting simple applications and examples. A solutions manual with fully worked answers of all end-of-chapter problems, and Mathematica® and R programs illustrating many processes discussed in the book, can be downloaded from crcpress.com.
https://www.crcpress.com/Stochastic-Processes-An-Introduction-Third-Edition/Jones-Smith/p/book/9781498778114 aStochastic processes9366378 aStochastic processes- Problems, exercises, etc9366379 aSmith, PetereCo-author9366380 2ddccBK 00102ddc406519_230000000000000_J6S8708NFIC9354087aVSLbVSLcGENd2018-06-29e12g3.00l2m2o519.23 J6S8p197185r2019-06-10s2018-08-22v4749.05yBK