Please use this identifier to cite or link to this item:
|Title:||Predicting mechanical properties of timber elements by regression analysis considering multicollinearity of non-destructive test results|
Branco , J.
Saporiti Machado, J.
|Publisher:||Maya Basin Yayin Mat. Tic. LTD. Sti.|
|Abstract:||Information retrieved from different sources, which are necessarily uncertain to some extent, must be compiled to have a reliable assessment of a timber element. Means to obtain information are often limited to non or semi destructive tests. Therefore, the available information is an indirect measurement of the element’s mechanical properties, and are incomplete predictors if not complemented with more data. In that scope, data is commonly added using different predictors in a regression analysis. If the predictors themselves are uncorrelated, the determination coefficient, R2, is directly related to the measure being explained. However, predictors are usually correlated and thus multicollinearity exists. In extreme cases, multicollinearity results in imprecise and unstable R2, thus the relative importance among predictors is not accurately measured.|
|Appears in Collections:||DE/NCE - Comunicações a congressos e artigos de revista|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.