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Statistical Quality Technologies - Theory and Practice (Hardcover, 1st ed. 2019): Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru... Statistical Quality Technologies - Theory and Practice (Hardcover, 1st ed. 2019)
Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru Tsai, Ding-Geng Chen
R3,963 Discovery Miles 39 630 Ships in 12 - 17 working days

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today's fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

Bayesian Inference and Computation in Reliability and Survival Analysis (Hardcover, 1st ed. 2022): Yuhlong Lio, Ding-Geng Chen,... Bayesian Inference and Computation in Reliability and Survival Analysis (Hardcover, 1st ed. 2022)
Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
R3,638 Discovery Miles 36 380 Ships in 12 - 17 working days

Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more. The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research.

Bayesian Inference and Computation in Reliability and Survival Analysis (1st ed. 2022): Yuhlong Lio, Ding-Geng Chen, Hon Keung... Bayesian Inference and Computation in Reliability and Survival Analysis (1st ed. 2022)
Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
R4,009 Discovery Miles 40 090 Ships in 10 - 15 working days

Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more. The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research.  

Statistical Quality Technologies - Theory and Practice (Paperback, 1st ed. 2019): Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru... Statistical Quality Technologies - Theory and Practice (Paperback, 1st ed. 2019)
Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru Tsai, Ding-Geng Chen
R4,026 Discovery Miles 40 260 Ships in 10 - 15 working days

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today's fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

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