Fiber Bundles: Statistical Models and Applications - Hardcover

by James U. Gleaton (Author), David Han (Author), James D. Lynch (Author)

​This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research.

This book is designed for graduate students and researchers in statistics, materials science, engineering, physics, and related fields, as well as practitioners and technicians in materials science and mechanical engineering.

Back Jacket

This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research.

This book is designed for graduate students and researchers in statistics, materials science, engineering, physics, and related fields, as well as practitioners and technicians in materials science and mechanical engineering.

Author Biography

James U. Gleaton is Professor Emeritus in the Department of Mathematics and Statistics at the University of North Florida.

David Han is Associate Professor of Management Science and Statistics at the University of Texas at San Antonio.

James D. Lynch is Distinguished Professor Emeritus in the Department of Statistics at the University of South Carolina.

Hon Keung Tony Ng is Professor in the Department of Mathematical Sciences at Bentley University.

Fabrizio Ruggeri is Research Director at the Italian National Research Council in Milan.