Free Delivery Over $100
|
|
|||
|
||||
OverviewThis textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications. Probability Foundations for Engineers, Second Edition continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables. Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions. Full Product DetailsAuthor: Joel A. Nachlas (Virginia Polytechnic Institute and State University, Department of Industrial & Systems Engineering, Blacksburg, USA)Publisher: Taylor & Francis Ltd Imprint: CRC Press Edition: 2nd edition Weight: 0.453kg ISBN: 9781032278483ISBN 10: 103227848 Pages: 172 Publication Date: 04 April 2023 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction. 2. A Brief Review of Set Theory. 3. Probability Basics. 4. Random Variables and Distributions. 5. Joint, Marginal and Conditional Distributions. 6. Expectation and Functions of Random Variables. 7. Moment Generating Functions. 8. Approximations and Limiting Behavior.ReviewsAuthor InformationJoel Nachlas is an Associate Professor Emeritus of the faculty of Industrial and Systems Engineering at Virginia Tech. He served on that faculty from 1974 until 2016. During his tenure in that department, he served as the coordinator for the department’s Operations Research faculty and curricula and was also the coordinator of the department’s international program. The foci of Dr. Nachlas research were the application of probability theory to reliability analysis and maintenance planning and of statistical methods to quality control. He earned the B.E.S. from at Johns Hopkins University in 1970 and the M.S. and Ph. D. from the University of Pittsburgh in 1974 and 1976 respectively. All three of his degrees are in Industrial Engineering with a concentration in Operations Research. Dr. Nachlas has received numerous awards for his research including the 1991 P. K. McElroy Award and the 2004 Golomski Award. He continues to serve as the editor of the Proceedings of the Annual Reliability and Maintainability Symposium. He was a member of INFORMS and IISE and he is a Fellow of the Society of Reliability Engineers and a Fellow of the American Society for Quality. During his tenure at VT, Dr. Nachlas served for twenty years as a visiting professor at Ecole Polytechnique de Nice in France. While on the VT faculty, he served for 35 seasons as head coach of the Virginia Tech men’s lacrosse team and was selected in 2001 as the US Lacrosse MDIA national coach of the year. Tab Content 6Author Website:Countries AvailableAll regions |
||||
