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https://doi.org/10.2498/cit.1001135

Building Regression Models with the Forward Search

Anthony C. Atkinson
Marco Riani

Puni tekst: engleski, pdf (491 KB) str. 287-294 preuzimanja: 733* citiraj
APA 6th Edition
C. Atkinson, A. i Riani, M. (2007). Building Regression Models with the Forward Search. Journal of computing and information technology, 15 (4), 287-294. https://doi.org/10.2498/cit.1001135
MLA 8th Edition
C. Atkinson, Anthony i Marco Riani. "Building Regression Models with the Forward Search." Journal of computing and information technology, vol. 15, br. 4, 2007, str. 287-294. https://doi.org/10.2498/cit.1001135. Citirano 14.10.2019.
Chicago 17th Edition
C. Atkinson, Anthony i Marco Riani. "Building Regression Models with the Forward Search." Journal of computing and information technology 15, br. 4 (2007): 287-294. https://doi.org/10.2498/cit.1001135
Harvard
C. Atkinson, A., i Riani, M. (2007). 'Building Regression Models with the Forward Search', Journal of computing and information technology, 15(4), str. 287-294. https://doi.org/10.2498/cit.1001135
Vancouver
C. Atkinson A, Riani M. Building Regression Models with the Forward Search. Journal of computing and information technology [Internet]. 2007 [pristupljeno 14.10.2019.];15(4):287-294. https://doi.org/10.2498/cit.1001135
IEEE
A. C. Atkinson i M. Riani, "Building Regression Models with the Forward Search", Journal of computing and information technology, vol.15, br. 4, str. 287-294, 2007. [Online]. https://doi.org/10.2498/cit.1001135

Sažetak
We give an example of the use of the forward search in building a regression model. The standard backwards elimination of variables is supplemented by forward plots of added variable t statistics that exhibit the effect of each observation on the process of model building. Attention is also paid to the effect of individual observations on selection of a transformation. Variable selection using AIC is mentioned, as is the analysis of multivariate data.

Hrčak ID: 44608

URI
https://hrcak.srce.hr/44608

Posjeta: 849 *