Quality management and operations research : understanding and implementing the nonparametric Bayesian approach / Nezameddin Faghih, Ebrahim Bonyadi, and Lida Sarreshtehdari.
Material type:
TextPublisher: Boca Raton, FL : CRC Press, 2021Edition: First editionDescription: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781003158141; 1003158145; 9781000376371; 1000376370; 9781000376333; 1000376338Subject(s): Quality control -- Statistical methods | Bayesian statistical decision theory | TECHNOLOGY / Quality Control | TECHNOLOGY / Operations Research | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 658.5/62 LOC classification: TS156Online resources: Taylor & Francis | OCLC metadata license agreement Summary: "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"-- Provided by publisher.
"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"-- Provided by publisher.
OCLC-licensed vendor bibliographic record.