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Optimum design of experiments for statistical inference
(Wiley-Blackwell, 2012-01-01)
. One attractive feature of optimum design criteria, such as D- and A-optimality, is that they are directly related to statistically interpretable properties of the designs that are obtained, such as minimizing the volume ...
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2002-01)
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2002-01)
Fundamental concepts and recent applications of factorial statistical designs
(Universidade Federal de Lavras (UFLA), 2022-03-04)
Factorial designs have been increasingly used in scientific investigations and technological development. The designs, through the use of matrices with all the treatment combinations, have been capable to effectively ...
FUNDAMENTAL CONCEPTS AND RECENT APPLICATIONS OF FACTORIAL STATISTICAL DESIGNS
(2022-03-04)
Factorial designs have been increasingly used in scientific investigations and technological development. The designs, through the use of matrices with all the treatment combinations, have been capable to effectively ...
Statistical Simplex Method for Experimental Design in Process Optimization
(American Chemical Society, 2005-11)
Experimental optimization with scarce and noisy process data is a key issue in laboratory automation for faster chemical process research and development, real-time process optimization, and the ability to embed a learning ...
Optimization of some parameters influencing Thermoascus aurantiacus growth: Effects of lignin-related compounds
(Stockton PressBasingstokeInglaterra, 1996)
Split-Plot and Multi-Stratum Designs for Statistical Inference
(Amer Statistical Assoc, 2017-01-01)
It is increasingly recognized that many industrial and engineering experiments use split-plot or other multi-stratum structures. Much recent work has concentrated on finding optimum, or near-optimum, designs for estimating ...
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2013)