Introduction
Quality and the Early History of Quality Improvement
Quality Management
Statistical Process Control
Organization of the Book
Basic Statistical Concepts and Methods
Introduction
Population and Population Distribution
Important Continuous Distributions
Important Discrete Distributions
Data and Data Description
Tabular and Graphical Methods for Describing Data
Parametric Statistical Inferences
Nonparametric Statistical Inferences
Univariate Shewhart Charts and Process Capability
Introduction
Shewhart Charts for Numerical Variables
Shewhart Charts for Categorical Variables
Process Capability Analysis
Some Discussions
Univariate CUSUM Charts
Introduction
Monitoring the Mean of a Normal Process
Monitoring the Variance of a Normal Process
CUSUM Charts for Distributions in Exponential Family
Self-Starting and Adaptive CUSUM Charts
Some Theory for Computing ARL Values
Some Discussions
Univariate EWMA Charts
Introduction
Monitoring the Mean of a Normal Process
Monitoring the Variance of a Normal Process
Self-Starting and Adaptive EWMA Charts
Some Discussions
Univariate Control Charts by Change-Point Detection
Introduction
Univariate Change-Point Detection
Control Charts by Change-Point Detection
Some Discussions
Multivariate Statistical Process Control
Introduction
Multivariate Shewhart Charts
Multivariate CUSUM Charts
Multivariate EWMA Charts
Multivariate Control Charts by Change-Point Detection
Multivariate Control Charts by LASSO
Some Discussions
Univariate Nonparametric Process Control
Introduction
Rank-Based Nonparametric Control Charts
Nonparametric SPC by Categorical Data Analysis
Some Discussions
Multivariate Nonparametric Process Control
Introduction
Rank-Based Multivariate Nonparametric Control Charts
Multivariate Nonparametric SPC by Log-Linear Modeling
Some Discussions
Profile Monitoring
Introduction
Parametric Profile Monitoring
Nonparametric Profile Monitoring
Some Discussions
Appendix A: R Functions for SPC
Appendix B: Datasets Used in the Book
Bibliography
Index