Material Detail

This probability and statistics textbook covers:

• Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
• Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
• Limit theorems and convergence
• Introduction to mathematical statistics, in particular, Bayesian and classical statistics
• Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
• Simulation using MATLAB and R

The site includes:

• The entire textbook
• Short video lectures that aid in learning the material
• Online probability calculators for important functions and distributions
• A solutions manual for instructors

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