Frontiers in Statistical Quality Control 12

This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design...

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Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Frontiers in Statistical Quality Control
Schlagworte:
Statistics .
Quality control.
Reliability.
Industrial safety.
Data mining.
ISBN:9783319752952
Online-Zugang: Volltext
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Inhaltsangabe:
  • Chapter 1. Phase I Distribution-Free Analysis with the R Package dfphase1
  • Chapter 2. Assessment of Shewhart Control Chart Limits in Phase I Implementations under Various Shift and Contamination Scenarios
  • Chapter 3. New results for two-sided CUSUM-Shewhart control charts
  • Chapter 4. Optimal Design of the Shiryaev-Roberts Chart: Give Your Shiryaev-Roberts a Headstart
  • Chapter 5. On ARL-unbiased charts to monitor the traffic intensity of a single server queue
  • Chapter 6. Risk-Adjusted Exponentially Weighted Moving Average Charting Procedure Based on Multi-Responses
  • Chapter 7. A Primer on SPC and Web Data
  • Chapter 8. The Variable-Dimension Approach in Multivariate SPC
  • Chapter 8. Distribution Free Bivariate Monitoring of Dispersion
  • Chapter 9. Monitoring and diagnosis of causal relationships among variables
  • Chapter 10. Statistical monitoring of multi-stage processes
  • Chapter 11. Control Charts for Time-Dependent Categorical Processes
  • Chapter 12. Monitoring of short series of dependent observations using a XWAM control chart
  • Chapter 13. Challenges in Monitoring Non-Stationary Time Series
  • Chapter 14. Design of Experiments: A Key to Successful Innovation
  • Chapter 15. D-Optimal Three-Stage Unbalanced Nested Designs for the Determination of Measurement Precision
  • Chapter 16. Sampling inspection by variables under Weibull distribution and Type I censoring
  • Chapter 17. Approximate Log-linear Cumulative Exposure Time Scale Model by Joint Moment Generating Function of Covariates
  • Chapter 18. A Critique of Bayesian Approaches within Quality Improvement
  • Chapter 19. A Note on the Quality of Biomedical Statistics.

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