Effectıveness of Williams Method in the Case of Overdispersion in Logistic Regression: Application of Financial Distress for BIST 100 Index
Journal Title: Journal of the Human and Social Science Researches - Year 2016, Vol 5, Issue 7
Abstract
In logistic regression, having higher observed variation than expected variation is called as overdispersion. Pearson chi-square and deviance goodness of statistics are used to determine overdispersion in logistic regression. Different methods can be used in the case of overdispersion where goodness of fit of the model and parameter estimations are not confidential. Williams method is widely used for overdipersion situations. In this study, logistic regression analysis was built in order to classifiy firms of BIST 100 index for financial distress. At the end of this analysis overdispersion was determined and parameters were re-estimatied by Williams method in order to detect the efficeny of the method.
Authors and Affiliations
Funda H. Sezgin| Yrd.Doç. Dr., İstanbul Üniversitesi, Mühendislik Fak.,Endüstri Mühendisliği Böl. hfundasezgin@yahoo.com
Keywords
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- EP ID EP2704
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