Mathematical and statistical models and methods in reliability: applications to medicine, finance, and quality control

This book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft industry, quality control, and transportation. The volume is thematically organized into four major sections: Reliability Models, Methods, and Optimization; Statistical Methods in Reliability; Applications; and Computer Tools for Reliability. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probabilityand statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence. " Real-world applications to survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation Chapters are written by recognized experts in reliability For a broad audience of researchers and practitioners in applied probability and statistics and a variety of related fields INDICE: Preface.- List of Contributors.- List of Tables.- List of Figures.- Part I: Reliability Models, Methods, and Optimization.- Part II: StatisticalMethods in Reliability.- Part III: Applications.- Part IV: Reliability Computer Tools. - Index.

• ISBN: 978-0-8176-4970-8
• Editorial: Birkhaüser
• Encuadernacion: Cartoné
• Páginas: 458
• Fecha Publicación: 29/11/2010
• Nº Volúmenes: 1
• Idioma: Inglés