Applied Probability and Stochastic Processes in Engineering and Physical Sciences

Elements of Probability Random Variables and Probability Distribution Moments of Random Variables Moment Generating Function, Characteristic Function and their Application Discrete Random Variables and their Distributions Continuous Random Variables and their Distributions Transformation of Random Variables Extreme Value Statistics Stochastic Processes Spectral Analysis of Random Processes Amplitudes and Periods of Gaussian Random Processes Statistical Analysis of the Time Series Data Wiener-Levy and Markov Processes Linear System and Stochastic Prediction Nonlinear Systems and Stochastic Prediction Non-Guassian Stochastic Processes Counting Stochastic Processes.