Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Institute of Graduate Programmes
  • Department of Statistics
  • Master of Science (MS) Degree
  • Program in Applied Statistics
  • Course Structure Diagram with Credits
  • Advanced Regression Analysis
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  • Description
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  • ECTS Credit Load

Course Introduction Information

Code - Course Title İST511 - Advanced Regression Analysis
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR DOKTOR BERNA YAZICI
Mode of Delivery
Prerequisites
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Repeating the Linear Algebra Topics
Week - 2 EN: Repeating the Linear Algebra Topics, Cont.
Week - 3 Types of Regression Models
Week - 4 The Assumptions of the Regression Models and Their Tests.
Week - 5 Piecevise Regression
Week - 6 Weighted Least Square Estimation
Week - 7 Multicolinearity
Week - 8 General Linear Models
Week - 9 Logistic Regression
Week - 10 Ridge Regression
Week - 11 Multivariate Regression
Week - 12 Dummy Variables
Week - 13 Poisson Regression
Week - 14 Selection of Variable for Regression Model, Stepwise Regression

Learning Activities and Teaching Methods

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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