Table of Contents

Part I - Statistical Process Control: Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest by Ross Sparks.- Some Recent Results on Monitoring the Rate of a Rare Event by William H. Woodall and Anne G. Ryan.- Statistical Perspectives on “Big Data” by Fadel M. Megahed and L. Allison Jones-Farmer.- Statistical Control of Multiple-stream Processes – a Literature Review by Eugenio K. Epprecht.- Regenerative Likelihood Ratio Control Schemes by Emmanuel Yashchin.- Variance Charts for Time Series – A Comparison Study by Taras Lazariv and Wolfgang Schmid.- On ARL-unbiased control charts by Sven Knoth and Manuel Cabral Morais.- Optimal Cumulative Sum Charting Procedures Based on Kernel Densities by Jessie Y. Su, Fah Fatt Gan, and Xu Tang.- A Simple Approach for Monitoring Process Mean and Variance Simultaneously by Su-Fen Yang and Barry C. Arnold.- Comparison of Phase II Control Charts Based on Variable Selection Methods by Giovanna Capizzi and Guido Masarotto.- The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring by Rainer Göb and Kristina Lurz.- Strategies to Reduce the Probability of a Misleading Signal by Manuel Cabral Morais, Patrícia Ferreira Ramos and António Pacheco.- Characteristics of Economically Designed CUSUM and Control Charts by Erwin Saniga, Darwin Davis, Alireza Faraz, Thomas McWilliams, James

Lucas.- SPC of Processes with Predicted Data - Application of the Data Mining Methodology by Olgierd Hryniewicz.- Shewhart’s Idea of Predictability and Modern Statistics by Alessandro Di Bucchianico and Edwin R. van den Heuvel.- Part II - Acceptance Sampling: Sampling Inspection by Variables with an Additional Acceptance Criterion byPeter-Th. Wilrich.- Fractional Acceptance Numbers for Lot Quality by K. Govindaraju and G. Jones.- Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs With Applications to Photovoltaics by Ansgar Steland.- Part III - Design of Experiments: An Overview of Designing Experiments for Reliability Data by G. Geoffrey Vining, Laura J. Freeman, and Jennifer L.K. Kensler.- Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs by Edgar Hassler, Douglas C. Montgomery, and Rachel T. Silvestrini.- Bayesian Lasso with Effect Heredity Principle by Hidehisa Noguchi, Yoshikazu Ojima, Seiichi Yasui.- Part IV - Related Areas: Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data by Watalu Yamamoto and Kazuki Takeshita.- Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring can Dominate the Proper one Even for Massive Data by Hans - J. Lenz.