Quality management and operations research: understanding and implementing the nonparametric Bayesian approach

"Offering a step-by-step approach for applying the nonparametric method with the Bayesian approach to model complex relationships occurring in reliability engineering, quality management, and operations research, it also discusses survival and censored data, accelerated lifetime tests (issues i...

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Bibliographische Detailangaben
Hauptverfasser: Faghih, Nezameddin 1953- (VerfasserIn), Bonyadi, Ebrahim (VerfasserIn), Sarreshtehdari, Lida (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2021
Ausgabe:First edition
Schlagworte:
Zusammenfassung:"Offering a step-by-step approach for applying the nonparametric method with the Bayesian approach to model complex relationships occurring in reliability engineering, quality management, and operations research, it also discusses survival and censored data, accelerated lifetime tests (issues in reliability data analysis), and R codes. This book uses the nonparametric Bayesian approach in the fields of quality management and operations research. It presents a step-by-step approach for understanding and implementing these models, as well as includes R codes which can be used in any dataset. The book helps the readers to use statistical models in studying complex concepts and applying them to operations research, industrial engineering, manufacturing engineering, computer science, quality and reliability, maintenance planning and operations management. This book helps researchers, analysts, investigators, designers, producers, industries, entrepreneurs, and financial market decision makers, with finding the lifetime model of products, and for crucial decision-making in other markets"--
Beschreibung:Includes bibliographical references and index
Beschreibung:xvii, 120 Seiten Diagramme
ISBN:9780367744908

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