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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (PhD) | |
| Code | IEM1839 |
| Name | Advanced Statistical Methods |
| Term | 2018-2019 Academic Year |
| Term | Fall |
| 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 |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The purpose of this course is to teach complex and advanced statistical techniques and the applications of these advanced techniques with scientific articles and presentations to students.
Course Content
This lesson covers Continuous distributions (exponential, gamma, beta, normal distributions), probability integral transformation, changing variables, multivariate distributions, Central Limit Theorem, sampling distributions,order statistics, regression and ANOVA, the parameters of non-statistical applications, multivariate regression, multivariate discriminant analysis, logistic regression, MANOVA, MANCOVA, unified analysis, cluster analysis.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understand complex and advanced statistical techniques |
| LO02 | Learn about the applications of these advanced techniques with scientific articles and presentations. |
| LO03 | Gain the ability to use statistical package programs. |
| LO04 | Establish a model by using the package program. |
| LO05 | Makes statistical reviews about the proposed model. |
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 | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain for what purpose and how econometric methods are applied to other fields and disciplines | 3 |
| 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 | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Collects data on purpose | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 2 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | It researches current approaches and methods to solve the problems it encounters and proposes new solutions | 3 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops long-term plans and strategies using econometric and statistical methods | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | 3 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | 2 |
| PLO17 | 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 | 3 |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| 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 | 3 |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | 4 |
| PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Continuous distributions (exponential, gamma, beta, normal distributions) | Examining the relevant chapter in the book | |
| 2 | Continuous distributions (exponential, gamma, beta, normal distributions) | Examining the relevant chapter in the book | |
| 3 | Changing variables with multivariate distributions, Central Limit Theorem | Examining the relevant chapter in the book | |
| 4 | Sampling distributions | Examining the relevant chapter in the book | |
| 5 | Order statistics | Examining the relevant chapter in the book | |
| 6 | Statistical Inference | Examining the relevant chapter in the book | |
| 7 | examination | Examining the relevant chapter in the book | |
| 8 | Mid-Term Exam | Examining the relevant chapter in the book | |
| 9 | Regression and ANOVA | Examining the relevant chapter in the book | |
| 10 | Parameters of non-statistical applications, multivariate regression | Examining the relevant chapter in the book | |
| 11 | Multivariate discriminant analysis | Examining the relevant chapter in the book | |
| 12 | Logistic regression | Examining the relevant chapter in the book | |
| 13 | MANOVA, MANCOVA | Examining the relevant chapter in the book | |
| 14 | Unified analysis | Examining the relevant chapter in the book | |
| 15 | Cluster analysis | Examining the relevant chapter in the book | |
| 16 | Term Exams | Examining the relevant chapter in the book | |
| 17 | Term Exams | Examining the relevant chapter in the book |
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 | ||