Frontiers in Statistical Quality Control 12

Frontiers in Statistical Quality Control 12

Schmid, Wolfgang; Knoth, Sven

Springer International Publishing AG

06/2018

366

Dura

Inglês

9783319752945

15 a 20 dias

740

Descrição não disponível.
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 ofshort 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.
62-06, 62P30, 62L99, 62N05, 62K99;Control Charting;Data Quality;Experimental Design;Lifetime Analysis;Process Capability Analysis;Quality Control;Statistical Process Control;quality control, reliability, safety and risk