part Part I. Introduction to Bayesian Inference -- chapter 1 An Introduction to Bayesian Inference in Process Monitoring, Control and Optimization / chapter 2 Modern Numerical Methods in Bayesian Computation / part Part II. Process Monitoring -- chapter 3 A Bayesian Approach to Statistical Process Control / chapter 4 Empirical Bayes Process Monitoring Techniques / chapter 5 A Bayesian Approach to Monitoring the Mean of a Multivariate Normal Process / chapter 6 Two-Sided Bayesian X Control Charts for Short Production Runs / chapter 7 Bayes’ Rule of Information and Monitoring in Manufacturing Integrated Circuits / part Part III. Process Control and Time Series Analysis -- chapter 8 A Bayesian Approach to Signal Analysis of Pulse Trains / chapter 9 Bayesian Approaches to Process Monitoring and Process Adjustment / part Part IV. Process Optimization and Designed Experiments -- chapter 10 A Review of Bayesian Reliability Approaches to Multiple Response Surface Optimization / chapter 11 An Application of Bayesian Statistics to Sequential Empirical Optimization / chapter 12 Bayesian Estimation from Saturated Factorial Designs