Akademik Dersler - Tanıtım


Code - Course Title	İST457 - Multivariate Statistics
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	4+1
ECTS	6.0
Course Instructor(s)	ÖĞRETİM GÖREVLİSİ DOKTOR HALİL ERYILMAZ
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	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	Organization of data set
Week - 2	Mean vector and covariance matrix
Week - 3	Multivariate Normal Distribution
Week - 4	Multivariate hypothesis testing
Week - 5	Hotelling's T2
Week - 6	MANOVA
Week - 7	MANOVA
Week - 8	Principal components analysis
Week - 9	Factor analysis
Week - 10	Factor analysis
Week - 11	Canonical correlation analysis
Week - 12	Discriminant analysis
Week - 13	Cluster analysis
Week - 14	Multivariate Multiple Regression Analysis

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	25
2.Midterm Exam	1	25
Final Exam	1	50
Toplam (%)		100