Wasfi Taher Kahwachi
Tishik International University, Erbil, Iraq
Email: wasfi,[email protected]
Aras J. Mhamad
Statistic Department, School of Administration & Economics, Sulaymaniyah University, Sulaymaniyah, Iraq
DOI: 10.23918/ICABEP2019p9
(Full Paper)
Abstract
Wasfi Kahwachi3 (WK3) measurement is considered as one of the powerful statistical tools for testing goodness of fit of the regression model when compared with the MSE (Mean Squared Error) measure. In this paper, the main goal is to detect the best measure for model fitting by using a comparison between MSE and WK3 measure. This new measure (WK3) applied on five samples to compare its value with MSE value which obtained from the same samples to judge on the new criterion for fitting the models. The results showed that the WK3 measure was better (smaller) than the MSE measure for fitting regression model in all samples. This gives the conclusion that Wk3 can be used besides MSE for testing goodness of fit in regression analysis.
Keywords: WK3 Measure, MSE Measure, Comparison MSE and WK3
ICABEP2019
International Conference on Accounting, Business, Economics and Politics
ISBN: 978-9922-9036-3-7
