000 02020nam a22003495i 4500
999 _c34532
_d34532
001 21050543
003 TH-BaNU
005 20201012152852.0
008 201012s2019 mau 000 0 eng
010 _a 2019944949
020 _a9780128143469
_q(hardback)
020 _z9780128143476
_q(ebook)
040 _aDLC
_beng
_erda
_cDLC
_dTH-BaNU
042 _apcc
050 _a QA273
_bR84 2019
100 1 _aRoss, Sheldon M,
_eauthor.
245 1 0 _aIntroduction to probability models /
_cSheldon M Ross.
250 _a12.
263 _a1907
264 1 _aCambridge :
_bElsevier,
_c2019.
300 _a842 pages
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
505 _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
520 _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.
850 _aKCNL
906 _a0
_bibc
_corignew
_d2
_eepcn
_f20
_gy-gencatlg
942 _2nlm
_cGB
998 _cnuch