Probability Models in Engineering and Science provides a comprehensive, self-contained introduction to applied probabilistic modeling. This book builds the background today's engineers need to deal explicitly with the scatter observed in experimental data and with intricate dynamic behavior. Designed for undergraduate and graduate coursework as well as self-study, the text's coverage of theory, approximation methods, and numerical methods makes it equally valuable to practitioners.
I am a faculty member in the department of mechanical and aerospace engineering at Rutgers University in New Brunswick, NJ. I specialize in the analysis and design of structures for the aerospace, ocean, space and lunar environments. My recent book is a "history" of the space age written in the year 2169 - and recounts how we became a spacefaring civilization ."