Frontiers in Statistical Quality Control 11
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 als...
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| Other Authors: | , |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | Frontiers in Statistical Quality Control
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-12355-4 |
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 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.