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 G
iovanna 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
by
Peter-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
.
