Probability For Engineering With Applications To Reliability

Probability for Engineering with Applications to Reliability

Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition

Virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. The second edition of this bestselling text introduces probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. It also features expanded discussions of the analysis of variance including single- and two-factor analyses and a thorough treatment of Monte Carlo simulation. The authors clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition, was designed as both a reference and as a textbook, and it serves each purpose well. Ultimately, readers will find its content of great value in problem solving and decision making, particularly in practical applications.

Probability and its Applications for Engineers

Demonstrating that probability is an applied science useful to engineers and covering, in two parts, all of the material that most engineers will encounter in practice, self-study or graduate study, this book offers a thorough development of probability theory and shows how the theory can be adapted to solve practical problems.;Part 1 of Probability and its Applications for Engineers explicates the theory and illustrates its use with concrete examples from such topics as quality control/acceptance sampling, telephone network blocking, economics and inventory control, the use of moments, and the overly conscientious worker phenomenon.;Developing basic results to a high degree, and comprehensively enough to cope with real engineering tasks, Part II elaborates on practical applications of the theory in areas of interest to practising engineers. Beginning with an introduction to statistics, Part II provides concise, self-contained examinations of control charts, tolerancing, reliability, random processes and decision trees.;With end-of-chapter problem sets and answers, a bibliography and over 1100 display equations, Probability and its Applications for Engineers sets out to provide a resource for quality and reliability, mechanical, and electrical and electronics engineers, and upper-level undergraduate, graduate and continuing-education students in these disciplines.