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A Study on Thin Cooling Layers Between the Cooling Channel and Cavity in the Injection Molding Process for Mold Temperature Control to Enhance Weld Line Flexural Strength in Plastic Products. [PDF]
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Optimal statistical design for toxicokinetic studies
Statistical Methods in Medical Research, 1997Optimal statistical design strategies are applied to toxicokinetic experiments, for determining proper allocations of subjects and/or spacings of sampling times under a variety of nonlinear concentration-time models. The strategies include: (i) optimal allocations of subjects assuming the placement of time points is fixed, (ii) optimal spacing of ...
D A, Beatty, W W, Piegorsch
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D-optimal onion designs in statistical molecular design
Chemometrics and Intelligent Laboratory Systems, 2004Statistical molecular design (SMD) is a technique for selecting a representative (diverse) set of substances in combinatorial chemistry and QSAR, as well as other areas depending on optimising chem ...
Ing-Marie Olsson +2 more
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Statistical Inference for Approximate Bayesian Optimal Design
2020 Winter Simulation Conference (WSC), 2020This paper studies a generic Bayesian optimal design formulation with chance constraints, where the decision variable lies in a separable, reflexive Banach space. This setting covers a gamut of simulation and modeling problems that we illustrate through two example problem formulations.
Prateek Jaiswal, Harsha Honnappa
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Design of statistically optimal stack filters
XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481), 2003Any gray-scale image can be represented as a "stack" of a decreasing sequence of binary images, obtained by thresholding the gray-scale image at each level. Stack filters are a special class of gray-scale image operators whose filtered images can be represented as the stack of binary images resulting from applying an increasing binary operator for each
N.S.T. Hirata +2 more
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Assay Optimization: A Statistical Design of Experiments Approach
JALA: Journal of the Association for Laboratory Automation, 2006With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments.
Maneesha, Altekar +7 more
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Statistically Designed Optimization of a Glass Composition
Journal of the American Ceramic Society, 1984An efficient, statistically based methodology for development and optimization of multicomponent materials is presented. The approach is illustrated with a five‐component nuclear waste glass. A composition field is defined, test compositions are statistically chosen, and their measured property data are used to fit empirical models.
L. A. CHICK, G. F. PIEPEL
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Optimal statistical designs with circular string property
Communications in Statistics - Theory and Methods, 1986This paper develops an approximate theory for D- and A-optlmal statistical designs with a circular string property. It is shown how the problems of deriving optimal designs can be reduced to non-linear programming problems involving small numbers of decision variables.
Rahul Mukerjee, S. Huda
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Statistical interconnect metrics for physical-design optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006In this paper, statistical models for the efficient analysis of interconnect delay and crosstalk noise in the presence of back-end process variations are developed. The proposed models enable closed-form computation of means and variances of interconnect-delay, crosstalk-noise peak, and coupling-induced-delay change for given magnitudes of variation in
K. Agarwal +3 more
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Statistical Design Approach To Optimized Submicron Lithography
SPIE Proceedings, 1988Device design rules now approach 0.5μm geometries. Process complexities and the performance of conventional equipment necessitate a more sophisticated technique for process optimization. Statistically designed experiments (SDE) and response surface analyses have, to a limited extent, addressed this need, but have fallen short in their ability to handle
R. M. Lazarus +3 more
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