Frontiers in Statistical Quality Control 13
portes grátis
Frontiers in Statistical Quality Control 13
Schmid, Wolfgang; Knoth, Sven
Springer Nature Switzerland AG
05/2021
406
Dura
Inglês
9783030678555
15 a 20 dias
799
Descrição não disponível.
Part I Statistical Process Control.- Chapter 1.- Use of the Conditional False Alarm Metric in Statistical Process Monitoring.- Chapter 2 Design Considerations and Tradeoffs for Shewhart Control Charts.- Chapter 3 On the Calculation of the ARL for Beta EWMA Control Charts.- Chapter 4 Flexible Monitoring Methods for High-Yield Processes.- Chapter 5 An Average Loss Control Chart Under a Skewed Process Distribution.- Chapter 6 ARL-unbiased CUSUM schemes to monitor binomial counts.- Chapter 7 Statistical Aspects of Target Setting for Attribute Data Monitoring.- Chapter 8 MAV control charts for monitoring two-state processes using indirectly observed binary data.- Chapter 9 Monitoring Image Processes - Overview and Comparison Study.- Chapter 10 Parallelized Monitoring of Dependent Spatiotemporal Processes.- Chapter 11 Product's Warranty Claim Monitoring under Variable Intensity Rates.- Chapter 12 A Statistical (Process Monitoring) Perspective on Human Performance Modeling in the Age of Cyber-Physical Systems.- Chapter 13 Monitoring Performance of Surgeons Using a New Risk-adjusted Exponentially Weighted Moving Average Control Chart.- Chapter 14 Exploring the usefulness of Functional Data Analysis for Health Surveillance.- Chapter 15 Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data.- Chapter 16 An approach to monitoring time between events when events are frequent.- Part II Selected Topics from Statistical Quality Control.- Chapter 17 Analysis of Measurement Precision Experiment with Ordinal Categorical Variables.- Chapter 18 Assessing a Binary Measurement System with Operator and Random Part Effects.- Chapter 19 Concepts, Methods and Tools Enabling Measurement Quality.- Chapter 20 Assessing laboratory effects in key comparisons with two transfer standards measured in two petals: A Bayesian approach.- Chapter 21 Quality control activities are a challenge for reducing variability.- Chapter 22 Is the Benford Law useful for Data Quality Assessment?
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statistical quality control;quality control;experimental design;statistical process control;big data;process monitoring;network analysis;control charting;data quality;lifetime analysis;62-06, 62P30, 62L99, 62N05, 62K99;quality control, reliability, safety and risk
Part I Statistical Process Control.- Chapter 1.- Use of the Conditional False Alarm Metric in Statistical Process Monitoring.- Chapter 2 Design Considerations and Tradeoffs for Shewhart Control Charts.- Chapter 3 On the Calculation of the ARL for Beta EWMA Control Charts.- Chapter 4 Flexible Monitoring Methods for High-Yield Processes.- Chapter 5 An Average Loss Control Chart Under a Skewed Process Distribution.- Chapter 6 ARL-unbiased CUSUM schemes to monitor binomial counts.- Chapter 7 Statistical Aspects of Target Setting for Attribute Data Monitoring.- Chapter 8 MAV control charts for monitoring two-state processes using indirectly observed binary data.- Chapter 9 Monitoring Image Processes - Overview and Comparison Study.- Chapter 10 Parallelized Monitoring of Dependent Spatiotemporal Processes.- Chapter 11 Product's Warranty Claim Monitoring under Variable Intensity Rates.- Chapter 12 A Statistical (Process Monitoring) Perspective on Human Performance Modeling in the Age of Cyber-Physical Systems.- Chapter 13 Monitoring Performance of Surgeons Using a New Risk-adjusted Exponentially Weighted Moving Average Control Chart.- Chapter 14 Exploring the usefulness of Functional Data Analysis for Health Surveillance.- Chapter 15 Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data.- Chapter 16 An approach to monitoring time between events when events are frequent.- Part II Selected Topics from Statistical Quality Control.- Chapter 17 Analysis of Measurement Precision Experiment with Ordinal Categorical Variables.- Chapter 18 Assessing a Binary Measurement System with Operator and Random Part Effects.- Chapter 19 Concepts, Methods and Tools Enabling Measurement Quality.- Chapter 20 Assessing laboratory effects in key comparisons with two transfer standards measured in two petals: A Bayesian approach.- Chapter 21 Quality control activities are a challenge for reducing variability.- Chapter 22 Is the Benford Law useful for Data Quality Assessment?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
