Contributions to Optimal Experimental Design and Strategic Subdata Selection for Big Data

Contributions to Optimal Experimental Design and Strategic Subdata Selection for Big Data

abstract: In this dissertation two research questions in the field of applied experimental design were explored. First, methods for augmenting the three-level screening designs called Definitive Screening Designs (DSDs) were investigated. Second, schemes for strategic subdata selection for nonpara...

Full description

Bibliographic Details
Other Authors: Nachtsheim, Abigael (Author)
Format: Doctoral Thesis
Language:English
Published: 2020
Subjects:
Statistics
Design augmentation
k-means clustering
Latin hypercube designs
Model discrimination
Model robustness
Supersaturated designs
Online Access:http://hdl.handle.net/2286/R.I.62661

Internet

http://hdl.handle.net/2286/R.I.62661

Similar Items