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Zusatztext 100738538 Informationen zum Autor Babatunde A. Ogunnaike Klappentext Many of the problems that engineers face involve randomly varying phenomena of one sort or another. But if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. This book provides students with a fundamental understanding of random phenomena and a working knowledge of how to model and analyze such phenomena. It explains how to use probability and statistics appropriately to deal with uncertainty in engineering problems. Basing his approach on the principle of theoretical foundations before application, Dr. Ogunnaike presents a classroom-tested course of study for understanding, characterizing, modeling, and quantifying randomly varying phenomena. Zusammenfassung Many of the problems that engineers face involve randomly varying phenomena of one sort or another. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, this title provides students with a working knowledge of how to solve engineering problems that involve randomly varying phenomena. Inhaltsverzeichnis Foundations. Two Motivating Examples. Random Phenomena, Variability, and Uncertainty. Probability. Fundamentals of Probability Theory. Random Variables and Distributions. Multidimensional Random Variables. Random Variable Transformations. Application Case Studies I: Probability. Distributions. Ideal Models of Discrete Random Variables. Ideal Models of Continuous Random Variables. Information, Entropy, and Probability Models. Application Case Studies II: In-Vitro Fertilization. Statistics. Introduction to Statistics. Sampling. Estimation. Hypothesis Testing. Regression Analysis. Probability Model Validation. Nonparametric Methods. Design of Experiments. Application Case Studies III: Statistics. Applications. Reliability and Life Testing. Quality Assurance and Control. Introduction to Multivariate Analysis. Appendix. Index. ...
