Applied Mathematics and Physics. 2020, 8(1), 20-25
DOI: 10.12691/amp-8-1-4
Open AccessArticle
Njoroge Elizabeth Wambui1, , Koske Joseph2 and Mutiso John2
1Dpartment of Physical Sciences, Chuka University, P.O. Box 109-60400, Chuka, Kenya
2Department of Mathematics, Physics and Computing, Moi University, P.O. Box 3900, Eldoret, Kenya
Pub. Date: October 13, 2020
Cite this paper:
Njoroge Elizabeth Wambui, Koske Joseph and Mutiso John. D- and G- Optimal Axial Slope Designs for Four Ingredient Mixture. Applied Mathematics and Physics. 2020; 8(1):20-25. doi: 10.12691/amp-8-1-4
Abstract
This paper aims at investigating and comparing the D- and G-optimal criteria for non-pure blends slope designs. The study used a parameter subsystem of interest based on the second-degree Kronecker model to obtain the H-invariant information matrices for both Equally Weighted Simplex Centroid Axial Design and Un-equally Weighted Simplex Centroid Axial Design. The D- and G- optimal values worked out revealed that the centroid achieved the best D- and G-optimality values and that the best D-efficient and G-efficient design points were
with 105.71% and
99.76% respectively. The latter design was more D-efficient while former design was more G-efficient.Keywords:
axial design subsystem H-invariant centroid D-optimal G-optimal efficiency
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
http://creativecommons.org/licenses/by/4.0/
References:
| [1] | Cornell, J.A. (2000). Experiments with Mixture Designs, Models and Analysis of Mixtures Data. John Wiley & Sons Inc, New York. |
| |
| [2] | Draper, N.R. and Pukelsheim, F. (1998). Mixture Models Based on Homogeneous Polynomials. J. Statist. Plann. Inference, 71, 303-311. |
| |
| [3] | Njoroge, E.W., Koske, J., Mutiso J. (2020). Quad-Axial Weighted Simplex Centroid Design Using Second Order Kronecker Model To Optimize The Plinth Concrete Mix Components For Low Cost Houses. ‘Unpublished’. |
| |
| [4] | Prescott, P., Dean, A.M., Draper, N.R., Lewis, S.M., (2002). Mixture Experiments; III Conditioning and Quadratic Model Specification. Technometrices. Pg. 260-268. |
| |
| [5] | Pukelsheim F. (1993). Optimal Design of Experiments, John Wiley & sons, Inc., New York. |
| |
| [6] | Rady, E.A., Abd EL-Monsef, M.M.E., Seyam, M.M., (2009). Relationship among several optimality criteria. Interstat Journal volume 15(6). pp1-11. |
| |
| [7] | Scheffe, H., (1958). Experiments with Mixtures. Journal of the Royal Staistical Society, ser B20: 344-359. |
| |
| [8] | Scheffe, H. (1963). Simplex Centroid Designs for Experiments with Mixtures. J. Royal statist. Soc. Ser, B25, 35-263. |
| |
| [9] | Thomas, A.U., Stephen, S.A., (2013). On the Comparison of Boundary and Interior Support points of a Response Surface under Optimality Criteria. International Journal of Mathematics and Statistics Studies, pp. 48-58. |
| |
| [10] | Wambua, A.M., Njoroge, E., Koske, J., Mutiso J., Kuria, J.G., Muriungi, R.G., Kipkoech, C.,(2017). Optimal Slope Designs for Second Degree Kronecker Model Mixture Experiments. International Journal of Applied Mathematics and Theoretical Physics, pp.86-91.3. |
| |