Intuitive Probability and Random Processes using MATLAB /
Steven M. Kay.
- New York : Springer, c2006.
- xviii, 833 p. : ill. ; 27 cm.
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).