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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Bibliographic Details
Other Authors: Knoth, Sven (Editor), Schmid, Wolfgang (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:Frontiers in Statistical Quality Control
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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
  • 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
  • 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