Book Description
This watershed resource shows how to use various probabilistic methods and approaches in practical problems of engineering and applied science. These methods enable readers to understand the behavior and performance of engineering products in the conditions of variability and uncertainty, and to ensure the effectiveness and durability of these products. Intended for engineers and applied scientists of different specialities, backgrounds, qualifications, and levels of experience, this straightforward and easy-to-use guide offers practical insight into the role of the ``laws of chance'' and causes and effects of variability in numerous design problems encountered in mechanical, structural, materials, reliability, telecommunications, and other areas of engineering. The book contains dozens of practical examples that demonstrate the key role that probabilistic methods can play in the analysis and design of viable and reliable engineering components, products, and systems.
From the Back Cover
Learn how to meld probability into your design solutions to develop superior products and systems. Based on numerous examples from various areas of engineering and applied science, this timely guide shows how probabilistic methods can be used effectively to account for the variability and uncertainty that are an inherent feature of many engineering products and systems. The book is designed for engineers and applied scientists of different specialities, backgrounds, and qualifications, and is accessible even to inexperienced designers. In a straightforward and easy-to-use manner, Applied Probability for Engineers and Scientists offers practical insight into the role of the ``laws of chance'' and causes and effects of variability in numerous design problems encountered in mechanical, structural, materials, reliability, ocean, civil, earthquake, aerospace, industrial, microelectronics, telecommunications, and other areas of engineering. The book contains dozens of examples that demonstrate the key role that probabilistic methods can play in the analysis and design of viable and reliable engineering components, products, and systems.