Probability, Statistics, and Stochastic Processes for Engineers and Scientists (Mathematical Engineering, Manufacturing, and Management Sciences)

Featuring recent advances in probability, statistics, and stochastic processes, this new textbook presents Probability and Statistics, and an introduction to Stochastic Processes. The book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option that combines these areas into one resource, balancing both theory, practical applications, and also keeping the practitioners in mind.

Features

• Includes numerous examples using current technologies with applications in various fields of study
• Offers many practical applications of probability in queueing models, all of which are related to the appropriate stochastic processes such as the classic Gambler's Ruin Problem
• Discusses current topics such as probability distributions used in real-world applications of statistics such as climate control and pollution
• Illustrates how to use different options for calculation purposes and data analysis such as, Minitab, MS Excel, and R Programming
• Covers reliability and its application in network queues