TY  - JOUR
TT  - Comparative simulation study for model adequancy with binary response variable under multicollinearity – nonparametric approaches
AU  - Kan Kılınç, Betül
AU  - Çavuş, Mustafa
PY  - 2017
DA  - April
Y2  - 2016
DO  - 10.16984/saufenbilder.297002
JF  - Sakarya University Journal of Science
JO  - SAUJS
PB  - Sakarya University
WT  - DergiPark
SN  - 2147-835X
SP  - 169
EP  - 177
VL  - 21
IS  - 2
KW  - toplamsal modeller
KW  - lojistik regresyon
KW  - toplamsal lojistik regresyon
N2  - Regressionmodels used to explore the importance of several explanatory variables inestimation, classification and analytical tools play an efficient role for manydata analysis. Although the classical linear model is quite easy to use, it isoften not sufficient for many real data sets as the relationships betweenvariables do not hold the assumption of the linearity of the relationshipbetween dependent and explanatory variables. Under this study, a nonparametricmodel fitting that does not require to form a strict mathematical relationshipbetween dependent and explanatory variables will be discussed on the contrarythe assumption in multiple linear regression. In this study, the relationshipbetween a binary dependent variable and the explanatory variables will beexamined in a conducted simulation study by using generalized linear, theadditive logistic regression in case of classical logistic regression model anddecision trees to explore the cause and effect relationship. The methods in questionand the simulation study will be performed for small, medium and large datasets when multicollinearity problem exists and will be compared with eachother.
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UR  - https://doi.org/10.16984/saufenbilder.297002
L1  - https://dergipark.org.tr/en/download/article-file/282234
ER  -