Akademik Dersler - Tanıtım


Code - Course Title	İST456 - Multivariate Statistical Analysis
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.5
Course Instructor(s)	PROFESÖR DOKTOR BETÜL KAN KILINÇ
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.
Required or Recommended Resources	---
Recommended Reading List	Applied Multivariate Statistical Analysis, Johnson and Wichern, 2004.
Assessment methods and criteria	2 Mid-term and 1 Final Exams. Exams will be applied by classical method.
Work Placement	Not available.
Sustainability Development Goals

Weeks	Topics
Week - 1	Classical linear regression model
Week - 2	Multivariate multiple regression
Week - 3	Multivariate multiple regression
Week - 4	Separation and classification problems
Week - 5	Separation and classification problems
Week - 6	Logistic regression and classification
Week - 7	Logistic regression and classification
Week - 8	Logit model
Week - 9	Binary logistic regression
Week - 10	Correspondence analysis
Week - 11	Correspondence analysis
Week - 12	Path analysis
Week - 13	Reliability analysis
Week - 14	Reliability analysis

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