Frontiers in Statistical Quality Control 13

Book Overview

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?

• Format: Paperback
• Language: English
• ISBN: 303067858X
• ISBN13: 9783030678586
• Release Date: May 2022
• Publisher: Springer
• Length: 406 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"