A Novel Regression Approach: Least Squares Ratio |
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| Authors: | Oguz Akbilgic Eylem Deniz Akinci |
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| Institution: | 1. Department of Quantitative Methods, Faculty of Business Administrations , Istanbul University , Istanbul, Turkey akbilgic@istanbul.edu.tr;3. Department of Statistics, Faculty of Statistics, Arts &4. Science Faculty , Mimar Sinan Fine Arts University , Istanbul, Turkey |
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| Abstract: | Regression Analysis (RA) is one of the frequently used tool for forecasting. The Ordinary Least Squares (OLS) Technique is the basic instrument of RA and there are many regression techniques based on OLS. This paper includes a new regression approach, called Least Squares Ratio (LSR), and comparison of OLS and LSR according to mean square errors of estimation of theoretical regression parameters (mse ß) and dependent value (mse y). |
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| Keywords: | Estimation Least squares ratio Ordinary least squares Prediction Regression |
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