ANOVA - DOAJ

Comparison of Multivariate ANOVA-Based Approaches for the Determination of Relevant Variables in Experimentally Designed Metabolomic Studies

"The use of chemometric methods based on variance analysis allows for the determination of the experimental factors used in a research's study's statistical significance. " However, classical multivariate ANOVA has a few features that make it impractical for dealing with metabolomics results. We review the results of three of these multivariate ANOVA-based techniques in the context of metabolomics studies in this paper. However, relevant variables pointed by GASCA appear to be more reliable, given that there is a high similarity among those variables found by the widely used partial least squares discriminant analysis software. ".

Source link: https://doi.org/10.3390/molecules27103304

Measurement of the Machined Surface Diameter by a Laser Triangulation Sensor and Optimalization of Turning Conditions Based on the Diameter Deviation and Tool Wear by GRA and ANOVA

"The inspection of the finished product is one of the most crucial steps in the manufacturing process. " Using the technique of grey relational analysis in conjunction with the Taguchi L16 orthogonal array, we've conducted parametric optimization of several multi-responses, including insert wear on the VB B flank of cutting edge and diameter deviation u0394 d for a C45 steel sample during dry turning and using a sintered carbide insert.

Source link: https://doi.org/10.3390/app12105266

Assessment of the Influence of Additives on the Mechanical Properties and Machinability of Al-11%Si Cast Alloys: Application of DOE and ANOVA Methods

"The experimental design of experiments was used in this research to investigate and control the characteristics of near-eutectic Al-11%Si alloys. " Both modified and unmodified alloys have the same results: the results show that increasing Cu and Fe content results in an increase in hardness, yield strain, and ultimate tensile strength in both modified and non-modified alloys. Both Cu and Fe appear to have adverse effects on elongation, negatively, on the elongation rate, on the other hand, although the Sr level has a positive effect on the elongation rate. ".

Source link: https://doi.org/10.3390/ma15093297

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