The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent.
The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields.
The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.
Part I- Statistical Process Control: Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of InterestbyRoss Sparks.- Some Recent Results on Monitoring the Rate of a Rare EventbyWilliam H. Woodall and Anne G. Ryan.- Statistical Perspectives on Big DatabyFadel M. Megahed and L. Allison Jones-Farmer.- Statistical Control of Multiple-stream Processes a Literature Reviewby Eugenio K. Epprecht.-Regenerative Likelihood Ratio Control SchemesbyEmmanuel Yashchin.- Variance Charts for Time Series A Comparison StudybyTaras Lazariv and Wolfgang Schmid.- On ARL-unbiased control chartsbySven Knoth and Manuel Cabral Morais.- Optimal Cumulative Sum Charting Procedures Based on Kernel DensitiesbyJessie Y. Su, Fah Fatt Gan, and Xu Tang.- A Simple Approach for Monitoring Process Mean and VarianceSimultaneously bySu-Fen Yang and Barry C. Arnold.- Comparison of Phase II Control Charts Based on Variable Selection Methodsby Giovanna Capizzi and Guido Masarotto.- The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical ProcessMonitoring byRainer Göb and Kristina Lurz.- Strategies to Reduce the Probability of a Misleading SignalbyManuel Cabral Morais, Patrícia Ferreira Ramos and António Pacheco.- Characteristics of Economically Designed CUSUM and Control ChartsbyErwin Saniga, Darwin Davis, Alireza Faraz, Thomas McWilliams, James
Lucas.- SPC of Processes with Predicted Data - Application of the Data Mining MethodologybyOlgierd Hryniewicz.- Shewharts Idea of Predictability and Modern StatisticsbyAlessandro Di Bucchianico and Edwin R. van den Heuvel.-Part II - Acceptance Sampling: Sampling Inspection by Variables with an Additional Acceptance CriterionbyPeter-Th. Wilrich.- Fractional Acceptance Numbers for Lot QualitybyK. Govindaraju and G. Jones.- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs With Applications to PhotovoltaicsbyAnsgar Steland.-Part III - Design of Experiments: An Overview of Designing Experiments for Reliability DatabyG. Geoffrey Vining, Laura J. Freeman, and Jennifer L.K. Kensler.- Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening DesignsbyEdgar Hassler, Douglas C. Montgomery, and Rachel T. Silvestrini.- Bayesian Lasso with Effect Heredity PrinciplebyHidehisa Noguchi, Yoshikazu Ojima, Seiichi Yasui.-Part IV - Related Areas: Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability DatabyWatalu Yamamoto and Kazuki Takeshita.- Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring can Dominate the Proper one Even for Massive DatabyHans - J. Lenz.
