Reducing the effects of collinearity in regression of heat transfer data

N Brauner, M Shacham

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Collinearity among dimensionless groups of the-independent variables may often prevent obtaining statistically valid, reliable correlations. In this paper commonly used collinearity indicators (such as condition number of the normal matrix, variance inflation factor and confidence intervals) and a new indicator," truncation error to noise ratio"(TNR) are used to investigate the level of collinearity and its harmful effects.
Original languageEnglish GB
Title of host publicationHEAT TRANSFER 1998, VOL 4
Pages3-8
StatePublished - 1998

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