IEM1844 Advanced Statistical Data Analysis

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Code IEM1844
Name Advanced Statistical Data Analysis
Term 2024-2025 Academic Year
Semester . Semester
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 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

Update Time: 08.05.2024 11:17