| Language of Instruction |
Türkçe |
| Course Type |
Elective Courses |
| Course Instructor(s) |
PROF. DR. EMEL ŞIKLAR |
| Mode of Delivery |
The mode of delivery of this course is face to face |
| Prerequisites |
There is no prerequisite or co-requisite for this course. |
| Courses Recomended |
There is no recommended optional programme component for this course. |
| Recommended Reading List |
Uygulamalı Regresyon Analizi (Rawlings vd. Editörler: Yılmaz Akdi-Afşin Şahin) |
| Assessment methods and criteria |
1 midterm and 1 final examination |
| Work Placement |
N/A |
| Catalog Content |
Introduction to Regression Analysis: Assumptions of linear regression model; Simple Linear Regression; Multiple Linear Regression; Goodness of Fit: Residual analysis, Analysis of outliers; Heteroscedasticity; Autocorrelation Analysis; Multicollinearity; Regression Models with Dummy Variables; Variable Selection and Model Development; Biased Estimation Methods: Ridge regression, Principle component regression, Partial least squares methods; Logistic Regression: Parameter estimations |
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