Abstract
A 3n circular factorial design which facilitates estimates of all factorial effects providing internal partial confounding with blocks within each of its diameters in different directions is constructed for use in analyzing the multi-directional data of different disciplines. The design possesses small error variance by eliminating the heterogeneity in different directions. An example is given.
Keywords
Factorial Design, Multidirectional Heterogeneity, Circular Factorial and Diameter
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Shamsuddin, Md
(2005).
"THE 3n CIRCULAR FACTORIAL DESIGNS: MORE ROBUST ESTIMATE OF ALL FACTORIAL EFFECTS,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1144
THE 3n CIRCULAR FACTORIAL DESIGNS: MORE ROBUST ESTIMATE OF ALL FACTORIAL EFFECTS
A 3n circular factorial design which facilitates estimates of all factorial effects providing internal partial confounding with blocks within each of its diameters in different directions is constructed for use in analyzing the multi-directional data of different disciplines. The design possesses small error variance by eliminating the heterogeneity in different directions. An example is given.
