000 02321cam a2200349 i 4500
001 vtls000346526
003 UG-KaMUL
005 20250614173202.0
010 _a 2013-047063
020 _a 9781118324561 (paperback)
039 _a 201910191856
_b 959
_y 201910191813
_z 959
040 _a DLC
_b eng
_c DLC
_e rda
_d DLC
_c UG-KaMUL
082 _a 519.2
_2 23
092 _a 519.2 YAT
100 _a Yates, Roy D.,
_e author.
245 _a Probability and stochastic processes :
_b a friendly introduction fo r electrical and computer engineers /
_c Roy D. Yates, Rutgers, the Sta te University of New Jersey, David J. Goodman, New York University.
250 _a Third edition.
264 _a Hoboken, NJ :
_b John Wiley & Sons,
_c [2014]
300 _a xvi, 496 pages :
_b illustrations ;
_c 24 cm
336 _a text
_2 rdacontent
337 _a unmediated
_2 rdamedia
338 _a volume
_2 rdacarrier
504 _a Includes bibliographical references (pages 489-490) and index.
505 _a Machine generated contents note: Chapter 1. Experiments, Models, an d Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continu ous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Ra ndom Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter E stimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9 . Estimation of a Random Variable Chapter 10. Stochastic Processes Chap ter 11. Random Signal Processing Chapter 12. Markov Chains .
520 _a "In Probability and Stochastic Processes: A Friendly Introduction fo r Electrical and Computer Engineers, readers are able to grasp the conc epts of probability and stochastic processes, and apply these in profes sional engineering practice. The 3rd edition also includes quiz solutio ns within the appendix of the text. The resource presents concepts clea rly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the mat erial, which can be utilized in solving practical problems"--
_c Provid ed by publisher.
650 _a Probabilities.
650 _a Stochastic processes.
700 _a Goodman, David J.,
_d 1939-
_e author.
942 _2ddc
_cBK
999 _c637167
_d637167