TÜRKÇE
ENGLISH
Information
| Code | IEM1844 |
| Name | Advanced Statistical Data Analysis |
| Term | 2024-2025 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 4-0 (T-A) (17 Week) |
| ECTS | 8 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜLSEN KIRAL |
| Course Instructor |
1 |
Course Goal / Objective
The aim of the course is to refresh the student's statistical knowledge, to introduce students to complex and advanced statistical techniques, and to inform them about scientific articles and presentations and the applications of these advanced techniques. Modeling of data using statistical package programs. To be able to make statistical comments about the proposed model.
Course Content
After explaining the basic concepts related to the subject, to reinforce them with examples and to make their applications on computers to make them more concrete.
Course Precondition
There are no prerequisites.
Resources
Books, articles, computers, etc.
Notes
1-Miller, I. and M. Miller (2004). Mathematical Statistics with Applications , Pearson Education 2-Samprit Chatterjee, Ali S. Hadi Bertham Price (2000) “Regression Analysis by Example” 3-Rawlings, John O. (1988). Applied Regression Analysis: A Research Tool , Wadsworth & Brooks 4-Reha Alprar 2003 .”Uygulamalı Çok Değişkenli İstatistiksel Yöntemlere Giriş 1 “5-Mendenhall, W. and T. Sincich (1996). A Second Course in statistics: Regression Analysis , Prentice Hall.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines continuous distributions. |
| LO02 | Performs probability integral transformation. |
| LO03 | Interprets sampling distributions. |
| LO04 | Explains rank statistics. |
| LO05 | Relates regression and ANOVA. |
| LO06 | Makes multivariate discriminant analysis. |
| LO07 | Explains cluster analysis. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Identify an econometric problem and propose a new solution to it | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain for what purpose and how econometric methods are applied to other fields and disciplines | 2 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences | 3 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 2 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Collects data on purpose | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 3 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 4 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | It researches current approaches and methods to solve the problems it encounters and proposes new solutions | 4 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops long-term plans and strategies using econometric and statistical methods | 3 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | 3 |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study | |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 3 |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | 3 |
| PLO19 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | 4 |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | 3 |
| PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Continuous distributions (exponential, gamma, beta, normal distributions) | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 2 | Continuous distributions | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 3 | Probability integral transform | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 4 | Variable substitution with multivariate distributions, Central limit theorem | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 5 | Sampling distributions | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 6 | Rank statistics | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 7 | Review | Reading the relevant parts in the book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | statistical inference. | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 10 | regression and ANOVA | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 11 | parameterless statistical applications, multivariate regression. | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 12 | multivariate discriminant analysis | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 13 | MANOVA, MANCOVA | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 14 | logistic regression, probit regression | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 15 | topit, combined analysis, cluster analysis. | read the relevant chapters from the source book | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 8 | 112 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 4 | 8 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 212 | ||
| Total Workload / 25 (h) | 8,48 | ||
| ECTS | 8 ECTS | ||