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298 * ! Tue, 8/5/2014, 8:30 AM - 10:20 AM CC-203
Experimental Design and Statistical Engineering: Estimation with Constraints — Contributed Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Lee McDaniel, University of Wisconsin-Madison   
8:35 AM Mixture Experiment Design When the Upper Bound of a Component Is Constrained by a Nonlinear Function of the Relative Proportions of the Other Components Greg Piepel, Pacific Northwest National Laboratory ; Scott Cooley, Pacific Northwest National Laboratory ; John Vienna, Pacific Northwest National Laboratory
8:50 AM An Example of Application of a Mixture Design with Constraints to Screen a Large Number of Variables Vaneeta Grover, DuPont
9:05 AM Optimal Design for a Weighted Set of Estimable Functions Jonathan W. Stallings, North Carolina State University ; John P. Morgan, Virginia Tech
9:20 AM Yates' Method for Computing Sums of Squares for Nonreplicated Experiments Mary Marion
9:35 AM Identifying the Best 16-Run Regular or Non-Regular Screening Design for 6 to 8 Factors Using Multiple Objectives Christine Anderson-Cook, Los Alamos National Laboratory ; Lu Lu, University of South Florida ; Mark E. Johnson, University of Central Florida
9:50 AM Dimensional Analysis and Statistics Weijie Shen, Penn State ; Dennis K.J. Lin, Penn State
10:05 AM Empirical Estimation of Collapse Capacity of Post-Mainshock Buildings by Generalized Linear Model — Ruiqiang Song, Michigan Technological University ; Shurong Fang ; Yue Li, Michigan Technological University



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