Abstract: Optimal Experimental Design (OED) aims to maximize information about model parameters with minimal experiments. Methodically, OED is based on the principle of maximizing Fisher information.
Abstract: Design of Experiment (DoE) is a powerful statistical methodology adopted as an upgraded level of measurement and assessment for analysis of experiments that involve multiple factors with ...
Fluid machinery is integral to a wide range of industries, from energy generation to transportation, and from industrial processing to environmental protection. The challenge of improving the ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...
“We're still playing a little bit of catch-up after putting all of our resources into the core rulebooks update,” franchise and product vice president Jess Lanzillo said. The overall message Polygon ...
Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...
A Times investigation found that the school built one of the most ambitious diversity programs in the country — only to see increased discord and division on campus. By Nicholas Confessore Nicholas ...
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