He starts with very interesting real-world applications of time series, then covers
multivariate random variables, methods based on regression, linear dynamic systems, stochastic processes, spectral analysis, linear systems and stochastic processes, multivariate time series, recursive and estimation.
Mukhopadhyay (statistics, University of Connecticut) reviews basic concepts and methods in probability theory, moments, and moment generating functions, then moves on to cover areas such as
multivariate random variables, sampling distribution, convergence, point estimation, Bayesian methods, and large-sample methods.