1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMETRICS DEPARTMENT
  4. 2405 ECONOMETRICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKOM 528MULTIVARIATE STATISTICAL METHODS II3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective the applications of the multivariate statistical methods
Course Content Random matrices and vectors, random sampling, the multivariate normal distribution and its properties, sampling and estimation methods multivariate normal distribution, the distribution of the sample mean vector and covariance matrix, multivariate data, multivariate normal distribution, compatibility of the vector average inference, multivariate mean vector comparison, Principal Components Analysis, Factor Analysis, Discriminant Analysis, Logistic Regression Analysis, Cluster Analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To be able to make applications of multivariate statistical analysis

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14570
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11010
Mid-terms12020
Final examination12525
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2016-2017 Spring1FERDA ESİN GÜLEL
Details 2015-2016 Spring1ANDIM OBEN BALCE
Details 2014-2015 Spring1ANDIM OBEN BALCE
Details 2013-2014 Spring1ANDIM OBEN BALCE


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKOM 528 MULTIVARIATE STATISTICAL METHODS II 3 + 0 1 Turkish 2016-2017 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. FERDA ESİN GÜLEL fegulel@pau.edu.tr İİBF C0208 %70
Goals the applications of the multivariate statistical methods
Content Random matrices and vectors, random sampling, the multivariate normal distribution and its properties, sampling and estimation methods multivariate normal distribution, the distribution of the sample mean vector and covariance matrix, multivariate data, multivariate normal distribution, compatibility of the vector average inference, multivariate mean vector comparison, Principal Components Analysis, Factor Analysis, Discriminant Analysis, Logistic Regression Analysis, Cluster Analysis.
Topics
WeeksTopics
1 Introduction
2 Random Matrices and Vectors
3 Random Sampling
4 The Multivariate Normal Distribution and its Properties
5 sampling and estimation methods in the multivariate normal distribution
6 the distribution of the sample mean vector and covariance matrix
7 multivariate data, multivariate normal distribution
8 compatibility of the vector average inference
9 multivariate mean vector comparison
10 Principal Components Analysis
11 Factor Analysis
12 Discriminant Analysis
13 Logistic Regression Analysis
14 Cluster Analysis
Materials
Materials are not specified.
Resources
ResourcesResources Language
Applied Multivariate Statistical Analysis, Johnson & WichernEnglish
Marketing Research, MalhotraEnglish
Çok Değişkenli İstatistiksel Analiz, TatlıdilTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes