Focusing on the modeling, analysis, and management of risk in today’s complex engineering enterprise systems, this book provides advanced methods for tackling risk problems at the enterprise level. The text presents a risk analytical framework for engineering enterprise systems and covers capability portfolio risk management, functional dependen

Introduction to Spatial Econometrics presents a variety of regression methods for analyzing spatial data samples that violate the traditional assumption of independence between observations. It explores a range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specif

A Text on the Foundation Processes, Analytical Principles, and Implementation Practices of Engineering Risk Management Drawing from the author’s many years of hands-on experience in the field, Analytical Methods for Risk Management: A Systems Engineering Perspectivepresents the foundation processes and analytical practices for identifying, analyzing, measuring, and managing risk in traditional systems, systems-of-systems, and enterprise systems. Balances Risk and Decision Theory with Case Studies and Exercises After an introduction to engineering risk management, the book covers the...

Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area.Mathematical Statistics with Applications presents the background concepts and builds the...