LOJİSTİK REGRESYONDA BİR AÇIKLAYICI DEĞİŞKENİN YANLIŞ TANUMLANMASININ BELİRTME KATSAYILARI ÜZERİNDEKİ ETKİLERİ

LOJİSTİK REGRESYONDA BİR AÇIKLAYICI DEĞİŞKENİN YANLIŞ TANUMLANMASININ BELİRTME KATSAYILARI ÜZERİNDEKİ ETKİLERİ

Misspecifying an explanatory variable is a common problem in logistic regression as it is for all members of generalized linear models. Categorizing a continuous explanatory variable, using wrong functional form of an explanatory variable and omitting an explanatory variable from the model are commo...

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Bibliographic Details
Main Authors: Suay EREEŞ, SUAY EREES, Aylin ALIN
Format: Article
Language:English
Published: Anadolu University 2013-04-01
Series:Anadolu University Journal of Science and Technology: B Theoretical Sciences
Subjects:
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Misspecification; R-square; Asymptotic relative efficiency; Logistic regression; Bootstrapping
Belirleme hatası
R-kare
asimtotik göreli etkinlik
lojistik regresyon
bootstrap
Online Access:http://dergipark.gov.tr/aubtdb/issue/3047/42324?publisher=anadolu

Internet

http://dergipark.gov.tr/aubtdb/issue/3047/42324?publisher=anadolu

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