TY  - GEN
AU  - Kay,Steven M.
TI  - Intuitive Probability and Random Processes using MATLAB
SN  - 0387241574 (acid-free paper)
U1  - 519.20113,KAY 
PY  - 2006///
CY  - New York
PB  - Springer
KW  - Probabilities
KW  - Computer simulation
KW  - Stochastic processes
N1  - Introduction (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)
UR  - http://www.loc.gov/catdir/enhancements/fy0663/2005051721-d.html
UR  - http://www.loc.gov/catdir/enhancements/fy0819/2005051721-t.html
ER  -