Buch, Englisch, 1064 Seiten, Format (B × H): 162 mm x 237 mm, Gewicht: 1932 g
Fundamentals of Probability and Statistics for Engineers
Buch, Englisch, 1064 Seiten, Format (B × H): 162 mm x 237 mm, Gewicht: 1932 g
ISBN: 978-1-4200-4497-3
Verlag: CRC Press
Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides students with a working knowledge of how to solve engineering problems that involve randomly varying phenomena. Basing his approach on the principle of theoretical foundations before application, Dr. Ogunnaike presents a classroom-tested course of study that explains how to master and use probability and statistics appropriately to deal with uncertainty in standard problems and those that are new and unfamiliar.
Giving students the tools and confidence to formulate practical solutions to problems, this book offers many useful features, including:
- Unique case studies to illustrate the fundamentals and applications of probability and foster understanding of the random variable and its distribution
- Examples of development, selection, and analysis of probability models for specific random variables
- Presentation of core concepts and ideas behind statistics and design of experiments
- Selected "special topics," including reliability and life testing, quality assurance and control, and multivariate analysis
As classic scientific boundaries continue to be restructured, the use of engineering is spilling over into more non-traditional areas, ranging from molecular biology to finance. This book emphasizes fundamentals and a "first principles" approach to deal with this evolution. It illustrates theory with practical examples and case studies, equipping readers to deal with a wide range of problems beyond those in the book.
About the Author:
Professor Ogunnaike is Interim Dean of Engineering at the University of Delaware. He is the recipient of the 2008 American Automatic Control Council's Control Engineering Practice Award, the ISA's Donald P. Eckman Education Award, the Slocomb Excellence in Teaching Award, and was elected into the US National Academy of Engineering in 2012.
Zielgruppe
Undergraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
