02098nam a22003495i 4500952010900000999001700109001000900126003000800135005001700143008004100160010001700201020003000218020002700248040003200275042000800307050002200315100003000337245005800367250000800425263000900433264003400442300001500476336002600491337002800517338002700545505037300572520072800945850000901673906004501682942001201727998000901739  00102nlm4070aKCNLbKCNLcPROCd2020-10-12l0oQA273 R84 2019p0000045301r2020-10-12w2020-10-12yGB  c34532d3453221050543TH-BaNU20201012152852.0201012s2019    mau           000 0 eng    a  2019944949  a9780128143469q(hardback)  z9780128143476q(ebook)  aDLCbengerdacDLCdTH-BaNU  apcc  a QA273 bR84 20191 aRoss, Sheldon M,eauthor.10aIntroduction to probability models /cSheldon M Ross.  a12.  a1907 1aCambridge :bElsevier,c2019.  a842 pages   atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIntroduction to Probability Theory
2. Random Variables
3. Conditional Probability and Conditional Expectation
4. Markov Chains
5. The Exponential Distribution and the Poisson Process
6. Continuous-Time Markov Chains
7. Renewal Theory and Its Applications
8. Queueing Theory
9. Reliability Theory
10. Brownian Motion and Stationary Processes
11. Simulation
12. Coupling  a"Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences and operations research. The hallmark features of this text have been retained in this edition, including a superior writing style and excellent exercises and examples covering the wide breadth of coverage of probability topics. In addition, many real-world applications in engineering, science, business and economics are included"--cProvided by publisher.  aKCNL  a0bibccorignewd2eepcnf20gy-gencatlg  2nlmcGB  cnuch