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Frontiers in Statistical Quality Control 11

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Cover of 'Frontiers in Statistical Quality Control 11'

Table of Contents

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    Book Overview
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    Chapter 1 Social Network Monitoring: Aiming to Identify Periods of Unusually Increased Communications Between Parties of Interest
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    Chapter 2 Some Recent Results on Monitoring the Rate of a Rare Event
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    Chapter 3 Statistical Perspectives on “Big Data”
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    Chapter 4 Statistical Control of Multiple-Stream Processes: A Literature Review
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    Chapter 5 Regenerative Likelihood Ratio Control Schemes
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    Chapter 6 Variance Charts for Time Series: A Comparison Study
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    Chapter 7 On ARL-Unbiased Control Charts
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    Chapter 8 Optimal Cumulative Sum Charting Procedures Based on Kernel Densities
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    Chapter 9 A Simple Approach for Monitoring Process Mean and Variance Simultaneously
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    Chapter 10 Comparison of Phase II Control Charts Based on Variable Selection Methods
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    Chapter 11 The Use of Inequalities of Camp-Meidell Type in Nonparametric Statistical Process Monitoring
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    Chapter 12 Strategies to Reduce the Probability of a Misleading Signal
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    Chapter 13 Characteristics of Economically Designed CUSUM and \bar{X} Control Charts
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    Chapter 14 SPC of Processes with Predicted Data: Application of the Data Mining Methodology
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    Chapter 15 Shewhart’s Idea of Predictability and Modern Statistics
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    Chapter 16 Sampling Inspection by Variables with an Additional Acceptance Criterion
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    Chapter 17 Fractional Acceptance Numbers for Lot Quality Assurance
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    Chapter 18 Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs with Applications to Photovoltaics
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    Chapter 19 An Overview of Designing Experiments for Reliability Data
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    Chapter 20 Bayesian D-Optimal Design Issues for Binomial Generalized Linear Model Screening Designs
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    Chapter 21 Bayesian Lasso with Effect Heredity Principle
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    Chapter 22 Comparative Study of Time Scales in Optimal Time Scale Analysis of Field Reliability Data
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    Chapter 23 Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring Can Dominate the Proper One Even for Massive Data Sets
Attention for Chapter 8: Optimal Cumulative Sum Charting Procedures Based on Kernel Densities
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Chapter title
Optimal Cumulative Sum Charting Procedures Based on Kernel Densities
Chapter number 8
Book title
Frontiers in Statistical Quality Control 11
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-12355-4_8
Book ISBNs
978-3-31-912354-7, 978-3-31-912355-4
Authors

Jessie Y. Su, Fah Fatt Gan, Xu Tang

Editors

Sven Knoth, Wolfgang Schmid

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