000020875 001__ 20875
000020875 005__ 20170119130214.0
000020875 04107 $$aeng
000020875 046__ $$k2014-09-22
000020875 100__ $$aPolat, Esra
000020875 24500 $$aA simulation study for the comparison of two popular robust PLSR methods: RSIMPLS and PRM with a robust PCR method in the presence of outliers

000020875 24630 $$n11.$$pProceedings of the international conference on numerical analysis and applied mathematics 2014
000020875 260__ $$b
000020875 506__ $$arestricted
000020875 520__ $$2eng$$aM-estimators, Partial least squares regression, Partial robust M-regression, Principal component analysis, Principal component regression, robust regression, SIMPLS, RSIMPLS, outliers.

000020875 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000020875 653__ $$a

000020875 7112_ $$aInternational conference on numerical analysis and applied mathematics 2014$$cRhodes (GR)$$d2014-09-22 / 2014-09-28$$gICNAAM2014
000020875 720__ $$aPolat, Esra$$iGunay, Suleyman
000020875 8560_ $$ffischerc@itam.cas.cz
000020875 8564_ $$s140772$$uhttps://invenio.itam.cas.cz/record/20875/files/610004_1.pdf$$yOriginal version of the author's contribution as presented on USB, paper 610004_1.pdf.
000020875 962__ $$r20333
000020875 980__ $$aPAPER