# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
LİNEAR MODELS/5051303
 Course Title: LİNEAR MODELS Credits 3 ECTS 7.5 Course Semester 1 Type of The Course Elective
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
Turkish
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
A student learns,estimation in the full rank model, estimation in the less than full rank model, hypothesis testing in the less than full rank model,.

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week vector spaces, subvector spaces and orthogonal subvector spaces. 2. Week vector spaces, subvector spaces and orthogonal subvector spaces. 3. Week Multivariate normal distribution and conditional expected value. 4. Week Hypothesis testing in full rank models. 5. Week Likelihood functions and maximum likelihood estimators. 6. Week maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models. 7. Week maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models. 8. Week maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models. 9. Week maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models. 10. Week maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models. 11. Week Midterm Exam 12. Week non-central chi-square and non-central F distributions. 13. Week Conditional inverse of X'X and estimable functions. 14. Week maximum likelihood estimators of estimable functions. 15. Week Hypothesis Testing in the Less than Full Rank Model. 16. Week Final Exam
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 20 Assignment 5 50 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 70 Percentage of Final Exam to Total Score 30