Quality Improvement Through Statistical Methods: Statistics for Industry and Technology
Editat de Bovas Abrahamen Limba Engleză Hardback – 22 mai 1998
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Specificații
ISBN-13: 9780817640521
ISBN-10: 0817640525
Pagini: 442
Ilustrații: XXXIII, 442 p.
Dimensiuni: 178 x 254 x 26 mm
Greutate: 1.01 kg
Ediția:1998
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Statistics for Industry and Technology
Locul publicării:Boston, MA, United States
ISBN-10: 0817640525
Pagini: 442
Ilustrații: XXXIII, 442 p.
Dimensiuni: 178 x 254 x 26 mm
Greutate: 1.01 kg
Ediția:1998
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Statistics for Industry and Technology
Locul publicării:Boston, MA, United States
Public țintă
ResearchCuprins
1. Scientific Learning.- 2. Industrial Statistics and Innovation.- 3. Understanding QS-9000 With Its Preventive and Statistical Focus.- 4. A Conceptual Framework for Variation Reduction.- 5. The Role of Academic Statisticians in Quality Improvement: Strategies of Small and Medium Sized Companies.- 6. Developing Optimal Regulation and Monitoring Strategies to Control a Continuous Petrochemical Process.- 7. Capability Indices when Tolerances are Asymmetric.- 8. Robustness of On-line Control Procedures.- 9. An Application of Filtering to Statistical Process Control.- 10. Statistical Process Control and Its Applications in Korean Industries.- 11. Multivariate Statistical Process Control of a Mineral Processing Industry.- 12. Developing Objective Strategies for Monitoring Multi-Input/Single-Output Chemical Processes.- 13. Properties of the Cpm Index for Seemingly Unstable Production Processes.- 14. Process Capability Indices for Contaminated Bivariate Normal Population.- 15. Quality Improvements by Likelihood Ratio Methods for Surveillance.- 16. Properties of the Taguchi Capability Index for Markov Dependent Quality Characteristics.- 17. Fast Model Search for Designed Experiments with Complex Aliasing.- 18. Optimal 12 Run Designs.- 19. Robustness ofD-Optimal Experimental Designs for Mixture Studies.- 20. A Bivariate Plot Useful in Selecting a Robust Design.- 21. Process Optimization Through Designed Experiments: Two Case Studies.- 22. Technological Aspects of TQM.- 23. On Robust Design for Multiple Quality Characteristics.- 24. Simultaneous Optimization of Multiple Responses Using a Weighted Desirability Function.- 25. Evaluating Statistical Methods Practiced in Two Important Areas of Quality Improvement.- 26. Applications of Generalized Linear Models in Reliability Studiesfor Composite Materials.- 27. Bivariate Failure Rates in Discrete Time.- 28. A General Approach of Studying Random Environmental Models.- 29. Testing for Change Points Expressed in Terms of the Mean Residual Life Function.- 30. Empirical Bayes Procedures for Testing the Quality and Reliability With Respect to Mean Life.- 31. On a Test of Independence in a Multivariate Exponential Distribution.- 32. Random Walk Approximation of Confidence Intervals.- 33. A Study of Quality Costs in a Multicomponent and Low Volume Products Automated Manufacturing System.- 34. Estimating Dose Response Curves.- 35. On the Quality of Preterm Infants Formula and the Longitudinal Change in Mineral Contents in Human Milk.