Related Experiment Video
Updated: Jun 12, 2025

Design and Optimization Strategies of a High-Performance Vented Box
Published on: June 9, 2023
Mixed-level designs with orthogonality and relatively optimal run order
Wenwen Hu1, Zujun Ou1, Qiao Peng1
1College of Mathematics and Statistics, Jishou University, Jishou, People's Republic of China.
Abstract:
Orthogonality and optimality of run order are two important and worthy to be considered criteria in design of experiment. For the mixed-level designs commonly used in the case of unequal levels of factors in the experiment, both orthogonality and optimality of run order are taken into account at the same time in this paper. The construction methods of mixed-level designs with orthogonality and relatively minimum or maximum level changes are respectively proposed. Based on such designs, the orthogonal main-effect plans with relatively minimum or maximum level changes are obtained by the method of collapsing factor. The designs with relatively minimum or maximum level changes constructed in this paper guarantee the cost minimum or the time trend most robust in the actual experiment arrangement.
More Related Videos
20:24Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
Published on: January 31, 2014
05:15The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
Published on: February 19, 2018
Related Concept Videos
Experimental Designs
Group Design
Friedman Two-way Analysis of Variance by Ranks
Wald-Wolfowitz Runs Test I
The test works...
Expected Frequencies in Goodness-of-Fit Tests
Wald-Wolfowitz Runs Test II
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...