Linear Models (ΣΕΕ2): Διαφορά μεταξύ των αναθεωρήσεων
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[[ | * [[Γραμμικά Μοντέλα (ΣEE2)|Ελληνική Έκδοση]] | ||
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=== General === | === General === | ||
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! | ! Learning Outcomes | ||
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By the end of the course students are expected to demonstrate: | By the end of the course students are expected to demonstrate: | ||
* A strong foundation in simple linear, multiple regression and in the one- and two-way analysis of variance as well as in extending these concepts, | * A strong foundation in simple linear, multiple regression and in the one- and two-way analysis of variance as well as in extending these concepts, | ||
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=== Syllabus === | === Syllabus === | ||
General Linear Model of full Rank | The General Linear Model of full Rank and its statistical properties. Multiple Regression Analysis. Hypothesis tests, diagnostic measures and residual analysis. Variable selection. Models of non full rank. Estimable functions, One and two-way analysis of variance with equal and unequal numbers per cell. | ||
=== Teaching and Learning Methods - Evaluation === | === Teaching and Learning Methods - Evaluation === | ||
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| | | Independent study | ||
| | | 70 | ||
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| | | Study and analysis of bibliography, Fieldwork | ||
| | | 78.5 | ||
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| Course total | | Course total |
Τελευταία αναθεώρηση της 16:39, 15 Ιουνίου 2023
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General
School | School of Science |
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Academic Unit | Department of Mathematics |
Level of Studies | Graduate |
Course Code | ΣΣΕ2 |
Semester | 1 |
Course Title | Linear Models |
Independent Teaching Activities | Lectures (Weekly Teaching Hours: 3, Credits: 7.5) |
Course Type |
Specialized general knowledge |
Prerequisite Courses | - |
Language of Instruction and Examinations | Greek |
Is the Course Offered to Erasmus Students | Yes (in English, reading Course) |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning Outcomes |
By the end of the course students are expected to demonstrate:
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General Competences |
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Syllabus
The General Linear Model of full Rank and its statistical properties. Multiple Regression Analysis. Hypothesis tests, diagnostic measures and residual analysis. Variable selection. Models of non full rank. Estimable functions, One and two-way analysis of variance with equal and unequal numbers per cell.
Teaching and Learning Methods - Evaluation
Delivery | Face-to-face | ||||||||||
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Use of Information and Communications Technology | Use of ICT in communication with students | ||||||||||
Teaching Methods |
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Student Performance Evaluation | Final written exam in Greek (in case of Erasmus students in English). |
Attached Bibliography
- Καρακώστας, Κ. (2002). Γραμμικά Μοντέλα: Παλινδρόμηση και Ανάλυση Διακύμανσης. Πανεπιστήμιο Ιωαννίνων.
- Λουκάς, Σ. (2014). Γενικό Γραμμικό Μοντέλο. Πανεπιστήμιο Ιωαννίνων.
- Οικονόμου, Π. και Καρώνη, Χ. (2010). Στατιστικά Μοντέλα Παλινδρόμησης, Εκδόσεις Συμεών.
- Draper, N.R. and H. Smith, (1998). Applied Regression Analysis, Third Edition, Wiley,
- Searle, S.R., (1997). Linear Models, Wiley Classics Library, Wiley,
- Seber, G.A.F. and A.J. Lee, (2003). Linear Regression Analysis, 2nd Edition, Wiley.