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Relevant bibliographies by topics / Complete factorial design

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Journal articles

Academic literature on the topic 'Complete factorial design'

Author: Grafiati

Published: 25 January 2024

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Journal articles on the topic "Complete factorial design"

1

KUMAR, PRAKASH, KRISHAN LAL, ANIRBAN MUKHERJEE, UPENDRA KUMAR PRADHAN, MRINMOY RAY, and OM PRAKASH. "Advanced row-column designs for animal feed experiments." Indian Journal of Animal Sciences 88, no. 4 (2023): 499–503. http://dx.doi.org/10.56093/ijans.v88i4.78895.

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Inappropriate statistical designs may misinterpret results of animal feed experiments. Thus complete statistical designs can make animal feed research more appropriate and cost effective. Usually factorial row-column designs are used when the heterogeneity in the experimental material is in two directions and the experimenter is interested in studying the effect of two or more factors simultaneously. Attempts have been to develop the method of construction of balanced nested row column design under factorial setup. Factorial experiments are used in designs when two or more factors have same le

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., Niranjan Chivate, Sidharth Patil ., Jagdish Saboji ., and Anuradha Chivate . "A Complete Review on Solid Dispersion Technology and Factorial Design." Journal of Current Pharma Research 2, no. 4 (2012): 659–67. http://dx.doi.org/10.33786/jcpr.2012.v02i04.011.

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Alassane, Daibou, Jaqueline Akemi Suzuki Sediyama, Alice Dos Santos Ribeiro, José Ivo Ribeiro Júnior, and Belo Afonso Muetanene. "PERFORMANCE OF MULTIPLE LINEAR REGRESSION ANALYSIS CONDUCTED UNDER RANDOMIZED COMPLETE BLOCK DESIGN." BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura 98, no. 3 (2024): 186–95. http://dx.doi.org/10.37856/bja.v98i3.4334.

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In factorial experiments conducted under randomized block design, the multiple linear regression model fitting can be performed under different combinations of the quantitative levels of the two factors and the number of replications. To determine the best combination, considering the same number of levels per factor and the same number of experimental units, it was concluded through a simulated data study that the quality of the fit increases when regression is performed in experiments with fewer combinations of levels (treatments) and more replications. Therefore, if linearity is expected, u

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Jain, Neha, Mohan L. Kori, Umesh K. Jain, and Abhishek K. Jain. "NATURAL BIODEGRADABLE CIPROFLOXACIN MICROSPHERES: OPTIMIZATION STUDY BY FACTORIAL DESIGN." Indian Drugs 59, no. 04 (2022): 24–33. http://dx.doi.org/10.53879/id.59.04.13018.

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Oral drug delivery is the most popular method of control and release of therapeutic agents for the management of diseases. The colon specific drug delivery systems are considered to attain targeted drug delivery to the large intestine specifically at colon. They provide local delivery for the treatment of colonic diseases like inflammatory bowel disease. The present investigation is based on response of percent drug release as dependent variable for the study at Y axis with two different variables-concentration of surfactant (X1) and stirring speed (X2). A 32 full factorial design was used for

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Collins, Linda M., John J. Dziak, and Runze Li. "Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs." Psychological Methods 14, no. 3 (2009): 202–24. http://dx.doi.org/10.1037/a0015826.

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Masetto, Alejandra, Luis B. Flores-Cotera, Carlos Díaz, Elizabeth Langley, and Sergio Sanchez. "Application of a complete factorial design for the production of zeaxanthin by Flavobacterium sp." Journal of Bioscience and Bioengineering 92, no. 1 (2001): 55–58. http://dx.doi.org/10.1016/s1389-1723(01)80199-7.

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Edginton, Andrea N., Patrick M. Sheridan, Herman J. Boermans, Dean G. Thompson, John D. Holt, and Gerald R. Stephenson. "A Comparison of Two Factorial Designs, a Complete 3×3 Factorial and a Central Composite Rotatable Design, for Use in Binomial Response Experiments in Aquatic Toxicology." Archives of Environmental Contamination and Toxicology 46, no. 2 (2004): 216–23. http://dx.doi.org/10.1007/s00244-003-2176-9.

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C. Eze, Francis. "Choice of Confounding in the 2k Factorial Design in 2b Blocks." Academic Journal of Applied Mathematical Sciences, no. 55 (May 15, 2019): 50–56. http://dx.doi.org/10.32861/ajams.55.50.56.

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In 2k complete factorial experiment, the experiment must be carried out in a completely randomized design. When the numbers of factors increase, the number of treatment combinations increase and it is not possible to accommodate all these treatment combinations in one homogeneous block. In this case, confounding in more than one incomplete block becomes necessary. In this paper, we considered the choice of confounding when k > 2. Our findings show that the choice of confounding depends on the number of factors, the number of blocks and their sizes. When two more interactions are to be confo

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M.P., Iwundu, and Oko E.T. "Design Efficiency and Optimal Values of Replicated Central Composite Designs with Full Factorial Portions." African Journal of Mathematics and Statistics Studies 4, no. 3 (2021): 89–117. http://dx.doi.org/10.52589/ajmss-ajwdyp0v.

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Efficiency and optimal properties of four varieties of Central Composite Design, namely, SCCD, RCCD, OCCD and FCCD and having r_f replicates of the full factorial portion, r_α replicates of the axial portion and r_c replicates of the center portion are studied in four to six design variables. Optimal combination,[r_f: r_α: r_c ] of design points associated with the three portions of each central composite design is presented. For SCCD, the optimal combinations resulting in A- and D- efficient designs generally put emphasis on replicating the center portion of the SCCD. However, replicating the

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Gama, A. J. A., J. M. R. Figueirêdo, A. L. F. Brito, M. A. Gama, G. A. Neves, and H. C. Ferreira. "Factorial design and statistical analysis of smectite clay treatment by hydrocyclone." Cerâmica 64, no. 369 (2018): 57–63. http://dx.doi.org/10.1590/0366-69132018643692196.

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Abstract Bentonite clays are materials composed by one or more smectite clay minerals and some accessory minerals, mainly quartz, cristobalite, mica, feldspars and other clay minerals such as kaolinite. These contaminants present in clays have a large distribution of particle sizes which severely restrict their industrial applications, with the use of hydrocyclone as a likely solution for their reduction. This study aims to analyze the treatment of smectite clays from the state of Paraíba using modeling, simulation and optimization of the variable average particle diameter in relation to vario

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