About the book
Principal Component Analysis presents the main concepts, the state of the art, advances, and case studies in this topic. Principal Component Analysis is being a critical variable in the research in order to reach accuracy and to address many problems. This book shows content complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc.
The book studies cases of real case studies in multiple disciplines. It considers the main topics as Principal Component Analysis and subdisciplines. It is essential to link these topics with financial, schedule, resources, downtimes, etc. in order to increase productivity, profitability, maintainability, reliability, safety, availability, and reduce costs, downtimes.
Advances in mathematics, models, computational techniques, dynamic analysis, etc. are employed in Principal Component Analysis, where this book presents the more important.
Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of Principal Component Analysis with defined constraints and requirements.
The book is focused on graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance, or who are required to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researchers from academia.