'Optimal designs' presentation slideshows

Choosing the Appropriate Design to Optimize Behavioral and Social Interventions

Choosing the Appropriate Design to Optimize Behavioral and Social Interventions . C Hendricks Brown University of Miami Miller School of Medicine Director Prevention Science & Methodology Group (PSMG) Director, Center for Prevention Implementation Methodology (NIDA, OBSSR)

1.04k views • 91 slides

Design and Analysis of Experiments

Design and Analysis of Experiments. Dr. Tai-Yue Wang Department of Industrial and Information Management National Cheng Kung University Tainan, TAIWAN, ROC. Two-Level Factorial Designs. Dr. Tai- Yue Wang Department of Industrial and Information Management National Cheng Kung University

1.09k views • 81 slides

Linear consecutive-k-out-of-n systems

428 views • 41 slides

Solving Quality Control Problems Using Genetic Algorithms

Solving Quality Control Problems Using Genetic Algorithms. Douglas C. Montgomery Professor of Engineering and Statistics Arizona State University doug.montgomery@asu.edu. This is joint work with:. Alejandro Heredia-Langner, Pacific Northwest Labs (former PhD student, ASU)

384 views • 28 slides

Bayesian Model Robust and Model Discrimination Designs

Bayesian Model Robust and Model Discrimination Designs. William Li Operations and Management Science Department University of Minnesota (joint work with Chris Nachtsheim and Vincent Agtobo). Outline. Introduction Bayesian model-robust designs Bayesian model discrimination designs.

417 views • 23 slides

Bayesian Model Robust and Model Discrimination Designs

Bayesian Model Robust and Model Discrimination Designs. William Li Operations and Management Science Department University of Minnesota (joint work with Chris Nachtsheim and Vincent Agtobo). Outline. Introduction Bayesian model-robust designs Bayesian model discrimination designs.

407 views • 23 slides

Optimal designs for one and two-colour microarrays using mixed models

Optimal designs for one and two-colour microarrays using mixed models. A comparative evaluation of their efficiencies Lima Passos, Winkens, Tan and Berger DEMA 2008. Maastricht University Department of Methodology and Statistics. Current situation One versus two colour comparisons.

274 views • 21 slides

Practical Design for Discrete Choice Experiments

Practical Design for Discrete Choice Experiments. Bradley Jones, SAS Institute August 13, 2008. Discrete Choice Experiment Setup. Respondents indicate the alternative they prefer most in each choice set A lternatives are called profiles Each profile is a combination of attribute levels

342 views • 19 slides

New DOE Features in JMP 14

190 views • 18 slides

Optimal design which are efficient for lack of fit tests

330 views • 16 slides

Space-Filling DOEs

Space-Filling DOEs. Design of experiments (DOE) for noisy data tend to place points on the boundary of the domain. When the error in the surrogate is due to unknown functional form, space filling designs are more popular.

353 views • 11 slides

Overview

Overview. Following the last collaboration meeting, we attempted to identify specific goals and tasks related to software development and implementation Focus was on short term goals, primarily. Issues To Be Addressed. Update of the geometry to reflect the current design (CM, RTJ, Regina)

165 views • 6 slides