000 02624 am a2200349ui 4500
001 011994843
003 ‫‪EG-GaU‬‬
005 20211216150051.0
008 990614s1996 enka || 001 ||eng
010 _a95014891
015 _aGB9944428
_2bnb
020 _a0792395832
020 _a9780792395836
040 _aDLC
_cDLC
_dUk
_dEG-GaU
_beng
_erda
082 0 4 _a519.2
_223
_bG.R.D.
100 1 _aGallager, Robert,
_eauthor.
_91252
245 1 0 _aDiscrete stochastic processes /
_cby Robert G. Gallager.
264 1 _aBoston ;
_aLondon :
_bKluwer Academic,
_c1996.
264 1 _c©1996
300 _axiii,271 pages :
_billustrations ;
_c25 cm
336 _atext
_2rdacontent
_btxt
337 _aunmediated
_2rdamedia
_bn
338 _avolume
_2rdacarrier
_bnc
490 0 _aThe Kluwer international series in engineering and computer science. Communications and information theory ;
_vSECS321
504 _aIncludes bibliographical references (p265) and index.
505 0 0 _t1. Introduction and Probability Review --
_t2. The Poisson Counting Process --
_t3. Renewal Processes --
_t4. Finite State Markov Chains --
_t5. Markov Chains with Countably Infinite State Spaces --
_t6. Discrete State Markov Processes --
_t7. Random Walks and Martingales --
_tIndex.
520 _aStochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time steps (for some time scale), or are characterized by discrete occurrences at arbitrary times. Discrete Stochastic Processes helps the reader develop the understanding and intuition necessary to apply stochastic process theory in engineering, science and operations research. The book approaches the subject via many simple examples which build insight into the structure of stochastic processes and the general effect of these phenomena in real systems. The book presents mathematical ideas without recourse to measure theory, using only minimal mathematical analysis. In the proofs and explanations, clarity is favored over formal rigor, and simplicity over generality. Numerous examples are given to show how results fail to hold when all the conditions are not satisfied. Audience: An excellent textbook for a graduate level course in engineering and operations research. Also an invaluable reference for all those requiring a deeper understanding of the subject.
650 7 _aStochastic processes.
_2GU-sh
_91253
856 4 1 _uhttps://library.gu.edu.eg/cgi-bin/koha/opac-retrieve-file.pl?id=781599d737d9ae0910304bc9c523bd14
_zGet the E-Book
942 _2ddc
_cBK
999 _c425
_d425