Protected: Statistics in the knowledge economy
Session 1A – Statistics in the knowledge economy
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Protected: Entropy-based adaptive design for contour-finding and estimating reliability
Session 2A – Entropy-based adaptive design for contour-finding and estimating reliability
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Protected: Contour location for airfoil simulation experiments using deep Gaussian processes
Session 2A – Contour location for airfoil simulation experiments using deep Gaussian processes
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Protected: Design selection for multi- and mixed-level supersaturated designs
Session 2B – Design selection for multi- and mixed-level supersaturated designs
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Protected: A sharper computational tool for L2E regression
Session 2C – A sharper computational tool for L2E regression
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Protected: Expanding access to graduate education in analytics & data science: behind the scenes at Georgia Tech’s online master’s program
Session 3A – Expanding access to graduate education in analytics & data science: behind the scenes at Georgia Tech’s online master’s program
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Protected: Broadening the spectrum of OMARS designs
Session 3B – Broadening the spectrum of OMARS designs
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Protected: A family of orthogonal main effects screening designs for mixed level factors
Session 3B – A family of orthogonal main effects screening designs for mixed level factors
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Protected: Semi-destructive gage RR
Session 3C – Semi-destructive gage RR
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Protected: Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator
Session 4C – Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator
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Protected: Augmenting definitive screening designs: going outside the box
Session 4C – Augmenting definitive screening designs: going outside the box
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Protected: Some statistical aspects of evaluating foundation models
Session 5A – Some statistical aspects of evaluating foundation models
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Protected: Practical design strategies for robust nonlinear statistical modelling
Session 5B – Practical design strategies for robust nonlinear statistical modelling
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Protected: Entropy-driven design of sensitivity experiments
Session 5B – Entropy-driven design of sensitivity experiments
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Protected: Problem Framing: essential to successful statistical engineering applications
Session 5C – Problem Framing: essential to successful statistical engineering applications
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Protected: Multi-criteria evaluation and selection of experimental designs from a catalog
Session 6A – Multi-criteria evaluation and selection of experimental designs from a catalog
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Protected: Assessing variable activity for Bayesian regression trees
Session 6C – Assessing variable activity for Bayesian regression trees
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Protected: The effectiveness & flexibility of a predictive distribution approach to process optimization with multiple responses
Session 6C – The effectiveness & flexibility of a predictive distribution approach to process optimization with multiple responses
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