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Using geometric mean to compute robust mixture designs.
- Published in:
- Quality & Reliability Engineering International, 2021, v. 37, n. 8, p. 3441, doi. 10.1002/qre.2927
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- Article
Using a genetic algorithm to generate D‐optimal designs for mixture‐process variable experiments.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 8, p. 2657, doi. 10.1002/qre.2549
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- Article
The construction of robust mixture‐process experimental designs via genetic algorithm.
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- Quality & Reliability Engineering International, 2019, v. 35, n. 6, p. 1582, doi. 10.1002/qre.2461
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- Article
Using a Genetic Algorithm to Generate D-optimal Designs for Mixture Experiments.
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- Quality & Reliability Engineering International, 2013, v. 29, n. 7, p. 1055, doi. 10.1002/qre.1457
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- Article
The Average Run Length Performance of Shewhart Control Chart when the Process Data are Sampled from Finite Population.
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- International Journal of Mathematics & Computer Science, 2022, v. 17, n. 2, p. 509
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- Article
Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm.
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- Mathematics (2227-7390), 2023, v. 11, n. 16, p. 3558, doi. 10.3390/math11163558
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- Article
Expected mean squares for model effects in the two-way ANOVA model when sampling from finite populations.
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- Songklanakarin Journal of Science & Technology, 2021, v. 43, n. 1, p. 57
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- Article
Re-estimation of supplemented methionine as total sulfur amino acid requirement for commercial male meat-type ducks.
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- Thai Journal of Veterinary Medicine, 2017, v. 47, n. 4, p. 457
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- Article
Development of Specific Activity of Amylolytic and Proteolytic Enzymes in Duodenum and Jejunum of the Small Intestinal Tract of Meat-Type Ducks during 1-42 Days of Age.
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- Journal of Applied Animal Science, 2017, v. 10, n. 3, p. 19
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- Article
EVALUATION OF ARTIFICIAL NEURAL NETWORKS FOR PINEAPPLE GRADING.
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- Journal of Texture Studies, 2006, v. 37, n. 5, p. 568, doi. 10.1111/j.1745-4603.2006.00069.x
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- Article