Engineering Probability and Statistics involves quantitative analysis of uncertainty and risk for engineering applications. It covers fundamentals of probability, random processes, statistics, and decision analysis coupled with random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. Other areas covered here include Bayesian analysis and risk-based decision, estimation of distribution parameters, hypothesis testing, simple and multiple linear regressions, and Poisson and Markov processes.
vCalc's Engineering probability and Statistics library contains both general and practical content for application in real-world engineering problems.