Contributions to quality improvement methodologies and computer experiments

Contributions to quality improvement methodologies and computer experiments

This dissertation presents novel methodologies for five problem areas in modern quality improvement and computer experiments, i.e., selective assembly, robust design with computer experiments, multivariate quality control, model selection for split plot experiments, and construction of minimax desig...

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Bibliographic Details
Main Author: Tan, Matthias H. Y.
Other Authors: Wu, C. F. Jeff
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2013
Subjects:
Selective assembly
Robust parameter design
Quadratic loss
Multivariate quality control
Mean shift identification
Split plot experiments
Bayesian model selection
Space-filling designs
Minimax designs
Sampling (Statistics)
Mathematical statistics
Quality control
Online Access:http://hdl.handle.net/1853/48936

Internet

http://hdl.handle.net/1853/48936

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