Book Review

摘要

Engineering uncertainty and risk analysis presents an introduction to the broad field of engineering uncertainty analysis in one comprehensive coverage. The author offers an integrated description of the subjects of probability, statistics, Monte Carlo simulation, descriptive and inferential statistics, design of experiments, systems reliability, fitting models to random data, analysis of variance (ANOVA), stochastic processes, and stochastic differential equations. The focus is on engineering applications, rather than theoretical or mathematical considerations. Each concept is illustrated with several examples (177 solved examples) of relevance in engineering applications (no cards, coloured balls, or dice). The emphasis is on clarity and the author succeeded in presenting a consistent notation and SI units throughout.