000			01733nam a2200289Ia 4500
003			OSt
005			20251118170617.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9788126534319
037			_cTextbook
040			_aCSL _beng _cCSL
041			_aeng
084			_aB281 P5 TB _qCSL
100			_aYates, Roy D _eauthor _9852073
245		0	_aProbability and Stochastic Processes _b: A Friendly Introduction for Electrical and Computer Engineers
250			_a2nd
260			_aNew Delhi : _bWiley , _c2005 .
300			_axvii,519p.
500			_aIncluded Appendix A & B 501-510p.; References 511-512p.; Index 513-519p.
520			_aThis user-friendly resource helps readers grasp the concepts of probability and stochastic processes, so they can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems. • Experiments, Models, and Probabilities. • Discrete Random Variables. • Continuous Random Variables. • Pairs of Random Variables. • Random Vectors. • Sums of Random Variables. • Parameter Estimation Using the Sample Mean. • Hypothesis Testing. • Estimation of a Random Variable. • Stochastic Processes. • Random Signal Processing. • Markov Chains.
650			_aProbability. _9852074
650			_aStochastic processes. _9852075
650			_aStatistics. _9852076
700			_aGoodman, David J _eco-author _9852077
942			_hB281, P5 TB _cTB _2CC _n0
999			_c12636 _d12636