↓ Skip to main content

Frontiers in Statistical Quality Control 11

Overview of attention for book
Cover of 'Frontiers in Statistical Quality Control 11'

Table of Contents

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

Mentioned by

twitter
5 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
79 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Frontiers in Statistical Quality Control 11
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-12355-4
ISBNs
978-3-31-912354-7, 978-3-31-912355-4
Editors

Sven Knoth, Wolfgang Schmid

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 19%
Student > Ph. D. Student 13 16%
Student > Bachelor 6 8%
Researcher 6 8%
Student > Doctoral Student 5 6%
Other 9 11%
Unknown 25 32%
Readers by discipline Count As %
Engineering 16 20%
Mathematics 11 14%
Computer Science 6 8%
Business, Management and Accounting 5 6%
Agricultural and Biological Sciences 3 4%
Other 12 15%
Unknown 26 33%