Author/Authors
ARI, Arzu Ondokuz Mayıs Üniversitesi - Ziraat Fakültesi - Zootekni Bölümü, Turkey , ÖNDER, Hasan Ondokuz Mayıs Üniversitesi - Ziraat Fakültesi - Zootekni Bölümü, Turkey
Title Of Article
REGRESSION MODELS USED FOR DIFFERENT DATA STRUCTURES
شماره ركورد
33865
Abstract
Regression can be expressed as a function between interested response variable and explanatory variables thought to be related on response. Functional form of the relationship between the explanatory variables and response variable described as regression model. The regression model must be chosen according to the data structure. If the chosen model is wrong, it leads to erroneous results. In this review, regression methods were examined to determine which regression models such as; linear regression, logistic regression, negative binomial regression, poisson regression, principal components regression, probit regression, ridge regression and Cox regression, is suitable for different data structure.
From Page
168
NaturalLanguageKeyword
Regression , Linear regression , Nonlinear regressions
JournalTitle
Anadolu Journal Of Agricultural Sciences
To Page
174
JournalTitle
Anadolu Journal Of Agricultural Sciences
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