ENGINEERING UNCERTAINTY AND RISK ANALYSIS: A Balanced Approach to Probability, Statistics, Stochastic Modeling, and Stochastic Differential Equations. / Edition 2

An integrated coverage of probability, statistics, Monte Carlo simulation, inferential statistics, design of experiments, systems reliability, fitting random data to models, analysis of variance, stochastic processes, and stochastic differential equations for engineers and scientists. The author for first time presents an introduction to the broad field of applied engineering uncertainty analysis in one comprehensive, friendly, coverage.