Genetic algorithm based outlier detection using Bayesian information criterion in multiple regression models having multicollinearity problems

Gazi University Journal of Science

Volumn 22, Issue 3, 2009, Pages 141-148

  Alma, Özlem Gürünlü ^a   Kurt, Serdar ^a   Uǧur, Aybars ^b  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

^b EGE UNIVERSITY   (Turkey)

Author keywords

Bayesian Information Criterion; Genetic Algorithms; Multicollinearity; Multiple Linear Regression; Outlier Detection

Indexed keywords

BARIUM COMPOUNDS; DATA HANDLING; DATA MINING; GENETIC ALGORITHMS; LEAST SQUARES APPROXIMATIONS;

BAYESIAN INFORMATION CRITERION; ESSENTIAL FEATURES; ESTIMATED MODEL; MODEL PROBLEMS; MULTICOLLINEARITY; MULTIPLE LINEAR REGRESSION MODELS; MULTIPLE LINEAR REGRESSIONS; MULTIPLE REGRESSION MODELLING; OUTLIER DETECTION; STATISTICAL TECHNIQUES;

MULTIPLE LINEAR REGRESSION;

EID: 70349876713     PISSN: 13039709     EISSN: 21471762     Source Type: Journal    
DOI: None     Document Type: Article

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