Random phenomena : fundamentals of probability and statistics for engineers

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Title:

Random phenomena : fundamentals of probability and statistics for engineers

Author:

Ogunnaike, Babatunde A. (Babatunde Ayodeji)

ISBN:

9781420044973

Personal Author:

Ogunnaike, Babatunde A. (Babatunde Ayodeji)

Publication Information:

Boca Raton, FL : CRC Press, c2010.

Physical Description:

xli, 1015 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.)

General Note:

Formerly CIP.

Contents:

I. Foundations -- 1. Two Motivating Examples -- 2. Random Phenomena, Variability, and Uncertainty -- II. Probability -- 3. Fundamentals of Probability Theory -- 4. Random Variables and Distributions -- 5. Multidimensional Random Variables -- 6. Random Variable Transformations -- 7. Application Case Studies I: Probability -- III. Distributions -- 8. Ideal Models of Discrete Random Variables -- 9. Ideal Models of Continuous Random Variables -- 10. Information, Entropy, and Probability Models -- 11. Application Case Studies II: In-Vitro Fertilization -- IV. Statistics -- 12. Introduction to Statistics -- 13. Sampling -- 14. Estimation -- 15. Hypothesis Testing -- 16. Regression Analysis -- 17. Probability Model Validation -- 18. Nonparametric Methods -- 19. Design of Experiments -- 20. Application Case Studies III: Statistics -- V. Applications -- 21. Reliability and Life Testing -- 22. Quality Assurance and Control -- 23. Introduction to Multivariate Analysis.

Abstract:

"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 randomly varying random phenomena in engineering problems. 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 known problems and those that are new and unfamiliar."--BOOK JACKET.

Subject Term:

Engineering -- Statistical methods.

Science -- Statistical methods.

Probabilities.

Stochastic analysis.

Copies:

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Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:AV-MAT	33168025537453	519.5 O.35R 2010	1	Searching... Unknown

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Summary

Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis.

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.