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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Abingdon, Oxon ; Boca Raton, FL :
CRC Press,
2021.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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"-- |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003158141 1003158145 9781000376371 1000376370 9781000376333 1000376338 |