Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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General Information Programs
  • Institute of Graduate Programmes
  • Department of Statistics
  • Doctorate Degree (Ph.D)
  • Course Structure Diagram with Credits
  • Advanced Circular Data Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information
Code - Course Title İST621 - Advanced Circular Data Analysis
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR KADİR ÖZGÜR PEKER
Mode of Delivery Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended İST507 Circular Data Analysis
Required or Recommended Resources Mardia, K.V. and Jupp, P.E. Directional Statistics (John Wiley, Chicester, 2000).Jammalamadaka, S.R. and SenGupta, A. Topics in Circular Statistics (World Scientific Publishing, London, 2001).
Recommended Reading List -
Assessment methods and criteria 1 Mid-term and 1 Final
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Nonparametric Testing Procedures, One-Sample Tests
Week - 2 Two-Sample Tests
Week - 3 Distributions on Spheres, Spherical Data
Week - 4 Descriptive Measures
Week - 5 Models for Spherical Data
Week - 6 Inferences on Spherical Data
Week - 7 Circular Correlation and Regression, Correlation Measures
Week - 8 Regression Models
Week - 9 Bivariate Models
Week - 10 Circular Time Series
Week - 11 Modern Methodology in Circular Data Analysis, Outliers
Week - 12 Robust Methods
Week - 13 Bootstrap Methods
Week - 14 General Sample Spaces, Shape Analysis

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Rational
  • Questoning
  • Effective use of a foreign language
  • Problem solving
  • Information Management
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

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