Study of Mechanical Properties of Wool Type Fabrics using ANCOVA Regression Model

The work has achieved a study on the variation of tensile strength for the four groups of wool fabric type, depending on the fiber composition, the tensile strength of the warp yarns and the weft yarns technological density using ANCOVA regression model. ANCOVA checks the correlation between a depen...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2017-06, Vol.209 (1), p.12075
Main Authors: Hristian, L, Ostafe, M M, Manea, L R, Apostol, L L
Format: Article
Language:English
Subjects:
Analysis of covariance
Continuity (mathematics)
Dependent variables
Design analysis
Independent variables
Mechanical properties
Multiple regression analysis
Parameter estimation
Qualitative analysis
Regression analysis
Regression models
Tensile strength
Variables
Variance analysis
Warp yarns
Weft
Wool
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Summary:The work has achieved a study on the variation of tensile strength for the four groups of wool fabric type, depending on the fiber composition, the tensile strength of the warp yarns and the weft yarns technological density using ANCOVA regression model. ANCOVA checks the correlation between a dependent variable and the covariate independent variables and removes the variability from the dependent variable that can be accounted for by the covariates. Analysis of covariance models combines analysis of variance with regression analysis techniques. Regarding design, ANCOVA models explain the dependent variable by combining categorical (qualitative) independent variables with continuous (quantitative) variables. There are special extensions to ANCOVA calculations to estimate parameters for both categorical and continuous variables. However ANCOVA models can also be calculated using multiple regression analysis using a design matrix with a mix of dummy-coded qualitative and quantitative variables.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/209/1/012075