Probability Foundations for Engineers

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A01=Joel A. Nachlas
Author_Joel A. Nachlas
beta and lognormal distributions
Binomial Distribution
Binomial Random Variable
Bivariate Exponential Distribution
Category=PBWH
Category=PBWL
Chebychev's Inequality
Conditional Distributions
Conditional Expectation
Conditional Probability Functions
Conditional Probability Mass Functions
Continuous Random Variable
Continuous Random Vector
Cumulative Poisson Probabilities
Discrete Random Variable
Distribution Function
engineering probability models
eq_isMigrated=1
eq_nobargain
Joint CDF
Joint Density Function
Joint Distribution Function
Joint Probability Mass Function
Marginal Probability Functions
Marginal Probability Mass Functions
mixture distributions
Multivariate Exponential Distribution
probability theory for industrial engineers
Random Experiment
Random Variables
Random Vector
reliability analysis
Residual Life Distributions
Sample Space
stochastic processes
undergraduate engineering textbook

Product details

  • ISBN 9781032278483
  • Weight: 500g
  • Dimensions: 156 x 234mm
  • Publication Date: 04 Apr 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This 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.

Joel 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.

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