000			01833 a2200253 4500
003			Nust
005			20220801141033.0
010			_a 2005051721
020			_a0387241574 (acid-free paper)
020			_a0387241582 (e-book)
020			_a9780387241579 (acid-free paper)
040			_cNust
082	0	0	_a519.20113,KAY
100	1		_aKay, Steven M.,
245	1	0	_aIntuitive Probability and Random Processes using MATLAB / _cSteven M. Kay.
260			_aNew York : _bSpringer, _cc2006.
300			_axviii, 833 p. : _bill. ; _c27 cm.
505			_aIntroduction (Page-1), Computer Simulation (Page-13), Basic Probability (Page-37), Conditional Probability (Page-73), Discrete Random Variables (Page-105), Expected Values for Discrete Random Variables (Page-133), Multiple Discrete Random Variables (Page-167), Conditional Probability Mass Functions (Page-215),Discreet N Dimensional Random Variables (Page-247), Continuous Random Variables (Page-285), Expected values for Continuous Random Variables (Page-343), Multi Continuous Random Variables (Page-377), Conditional Probability Density Function (Page-433), Continuous N Dimensional Random Variables (Page-457), Probability and Moment Approximation using Limits Theorems (Page-485), Basic Random Process (Page-515), Wide Sense Stationary Random Process (Page-547), Linear Systems and Wide Sense Stationary Random Process (Page-597), Gaussian Random Process (Page-673), Poisson Radom Process (Page-711), Markov Chains (Page-739).
650		0	_aProbabilities _xComputer simulation _996064
650		0	_aStochastic processes _xComputer simulation _996065
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy0663/2005051721-d.html
856	4	2	_3Table of contents only _uhttp://www.loc.gov/catdir/enhancements/fy0819/2005051721-t.html
942			_2ddc _cREF
999			_c190345 _d190345