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Nonparametric methods to estimate the model changing transactions (A comparative study) | ||
| Journal of Administration and Economics | ||
| Article 1, Volume 0, Issue 104, 2018, Pages 264-272 | ||
| Authors | ||
| Prof. Zafer Hussein Rashid; MM Hossam Abdul Razzaq Rashid | ||
| Abstract | ||
| The main problem to search and study any phenomenon is how the adoption of appropriate analysis that we can employ to take many decisions that elevate resolve this phenomenon, and our understanding of the phenomenon represents the first phase as it will be able to collect all the relevant information out and represented in a meaningful way between different information. Previously known that parameters of linear regression be fixed over all the observations and those parameters are unknown and the focus to estimate it. Recently was addressed in some cases to study linear models which the parameters are variable in the sense that those parameters can be considered as a function dependent on a independent variable. This structural building model between the independent variables and the dependent variable known as Varying Coefficient Models (VCM) . We estimate the varying coefficients by using nonparametric methods which is the Local Polynomial Kernel (LPK) and Regression Spline (RS), and by using simulation technique for comparison we found that the LPK method is the best. Keywords: Varying Coefficient Model, Local Polynomial Kernel, Regression Spline, Generalized Cross Validation. | ||
| Keywords | ||
| Statistical axis | ||
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