Frontiers in Statistical Quality Control 12

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Knoth, Sven (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Schmid, Wolfgang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Frontiers in Statistical Quality Control
• Θέματα: Statistics .; Quality control.; Reliability.; Industrial safety.; Data mining.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Quality Control, Reliability, Safety and Risk.; Statistics and Computing/Statistics Programs.; Data Mining and Knowledge Discovery.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Business, Management, Economics, Finance, Insurance.

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...

Πίνακας περιεχομένων:

• 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.