The application of simple errors in variables model on real data
The Ordinary Least Squares (OLS) method is the most widely used method to estimate the parameters of regression model. One of the critical assumption of the OLS estimation method is that the regression variables are measured without error. However, in many practical situations this assumption is of...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
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