Title Frontiers in statistical quality control 13 / Sven Knoth, Wolfgang Schmid, editors

Published Cham : Springer, 2021

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Description 1 online resource (410 pages) Contents 5 Sample Size and Strictness -- 6 Concluding Remarks -- References -- On the Calculation of the ARL for Beta EWMA Control Charts -- 1 Introduction -- 2 The Beta Distribution and the EWMA Control Chart -- 3 Numerical Methods to Calculate EWMA ARL -- 4 Comparison Study -- 5 Conclusions -- References -- Flexible Monitoring Methods for High-yield Processes -- 1 Introduction -- 2 The Zero-Inflated Conway-Maxwell-Poisson (ZICOM-Poisson) Distribution -- 3 Monitoring Methods Based on ZICOM-Poisson Distribution -- 3.1 The p-[delta] CUSUM Chart -- 3.2 The CRL-ZTCOMP CUSUM Chart -- 4 Performance Evaluations Intro -- Preface -- Contents -- Contributors -- *-1.5pc Statistical Process Control -- Use of Conditional False Alarm Metric in Statistical Process Monitoring -- 1 Introduction -- 2 Static Use of CFAR -- 3 Dynamic Use of CFAR -- 4 Implementation Methods -- 5 Other Applications -- 6 Conclusions -- References -- Design Considerations and Trade-offs for Shewhart Control Charts -- 1 Introduction -- 2 Parameter Estimation -- 3 Design Criteria -- 3.1 Bias Criterion -- 3.2 Exceedance Probability Criterion -- 4 Distributional Assumptions -- 4.1 Parametric Methods -- 4.2 Nonparametric Methods 4.1 Performance Measure -- 4.2 IC and OOC Parameters for the Simulation Study -- 4.3 Derivation of Control Limits -- 5 Results and Discussions -- 6 An Example -- 7 Summary, Conclusions, and Recommendations -- References -- An Average Loss Control Chart Under a Skewed Process Distribution -- 1 Introduction -- 2 The ML Control Chart -- 2.1 The Skew-Normal Distribution -- 2.2 The Loss Function -- 2.3 The Design of a Median Loss Control Chart -- 3 Performance Measurement of the ML Chart -- 4 The Average Loss Control Chart -- 4.1 The Distribution of Average Loss 4.2 The Design of an Average Loss Control Chart -- 5 Performance Measurement of the ALSN Control Chart -- 6 Conclusions -- References -- ARL-Unbiased CUSUM Schemes to Monitor Binomial Counts -- 1 Introduction -- 1.1 A Handful of CUSUM Charts and Schemes for Independent Counts -- 1.2 A Few CUSUM Charts and Schemes for Autocorrelated Counts -- 1.3 On ARL-Unbiased Charts for Discrete Output -- 2 The ARL of CUSUM Charts and Schemes for i.i.d. Counts -- 2.1 Upper and Lower One-Sided CUSUM Charts -- 2.2 The Two-Sided CUSUM Scheme 2.3 Relating the ARL of One-Sided CUSUM Charts and the Two-Sided CUSUM Scheme -- 3 The ARL-Unbiased Two-Sided CUSUM Scheme for i.i.d. Binomial Output -- 3.1 The Control Limits and Randomization Probabilities -- 3.2 Preliminary Results -- 4 The ARL of Two-Sided CUSUM Schemes for Binomial AR(1) Counts -- 4.1 Overall ARL Functions -- 4.2 Further Preliminary Results -- 5 Final Thoughts -- References -- Statistical Aspects of Target Setting for Attribute Data Monitoring -- 1 Introduction -- 2 Robust Point Estimation of p -- 2.1 Weight-Trimmed Estimate for p -- 2.2 Confidence Bounds for p Summary This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control Notes 2.3 Bias and Robustness Issues Online resource; title from PDF title page (SpringerLink, viewed May 24, 2021) Subject Quality control -- Statistical methods -- Congresses Mathematical statistics -- Congresses Estadística matemática Control de calidad -- Métodos estadísticos Mathematical statistics Quality control -- Statistical methods Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Knoth, Sven Schmid, Wolfgang, 1956- ISBN 9783030678562 3030678563

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