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  • Program in Quantitative Methods
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  • Advanced Regression Techniques
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Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Advanced Regression Techniques SAY607 I. SEMESTER 3+0 7.5
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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