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Frontiers in Statistical Quality Control 13
Title
Frontiers in Statistical Quality Control 13 [electronic resource] / edited by Sven Knoth, Wolfgang Schmid.
ISBN
9783030678562
Edition
1st ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (XVI, 406 p.) 132 illus., 86 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 24, 2021
Series
Frontiers in Statistical Quality Control
Contents
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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