Quality Improvement Through Statistical Methods

This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Insti...

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Bibliographic Details
Other Authors: Abraham, Bovas (Editor)
Format: eBook
Language:English
Published: Boston, MA Birkhäuser 1998, 1998
Edition:1st ed. 1998
Series:Statistics for Industry and Technology
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • 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