Probability and Statistics in Engineering, Spring 2005
(Complete Item Description)
- Abstract:
Quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, random processes, statistics, and decision analysis. Random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. Introduction to system reliability. Bayesian analysis and risk-based decision. Estimation of distribution parameters, hypothesis testing, and simple and multiple linear regressions. Poisson and Markov processes. Emphasis on application to engineering problems.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
- MIT OpenCourseWare
