ISB538 Theory of Statistics

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code ISB538
Name Theory of Statistics
Term 2024-2025 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY
Course Instructor
1


Course Goal / Objective

The goal are to gain the necessary information for statistical applications by understanding the basic theory of statistics.

Course Content

The content of this course is limiting distributions, statistical inference, sufficient statistics.

Course Precondition

To have learned the lecture ISB 537 Theory of Probability

Resources

1. Robert V. Hogg. Allen T. Craig. Introduction to Mathematical. Statistics. Fifth Edition. Macmillan Publishing Co. Inc. New York. 2. George Casella, Roger L. Berger. Statistical Inference. Duxbury Press. 3. Yılmaz Akdi. Matematiksel İstatistiğe Giriş. Gazi Kitabevi.

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explain convergency in distribution, probability and moments.
LO02 Find the distributions of sample statistics.
LO03 Make the statistical inference.
LO04 Explain the methods of point estimation.
LO05 Compare the estimator by means of the measures of quality.
LO06 Obtain the sufficient statistics.
LO07 Explain the completeness, uniqueness and consistency.
LO08 Obtain the exponential class of probabilty density functions.
LO09 Explain the minimal sufficient and ancillary statistics.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have in-depth theoretical and practical knowledge about Probability and Statistics 5
PLO02 Bilgi - Kuramsal, Olgusal They have the knowledge to make doctoral plans in the field of statistics. 4
PLO03 Bilgi - Kuramsal, Olgusal Has comprehensive knowledge about analysis and modeling methods used in statistics.
PLO04 Bilgi - Kuramsal, Olgusal Has comprehensive knowledge of methods used in statistics. 4
PLO05 Bilgi - Kuramsal, Olgusal Make scientific research on Mathematics, Probability and Statistics.
PLO06 Bilgi - Kuramsal, Olgusal Indicates statistical problems, develops methods to solve. 4
PLO07 Bilgi - Kuramsal, Olgusal Apply innovative methods to analyze statistical problems.
PLO08 Bilgi - Kuramsal, Olgusal Designs and applies the problems faced in the field of analytical modeling and experimental researches.
PLO09 Bilgi - Kuramsal, Olgusal Access to information and do research about the source. 4
PLO10 Bilgi - Kuramsal, Olgusal Develops solution approaches in complex situations and takes responsibility.
PLO11 Bilgi - Kuramsal, Olgusal Has the confidence to take responsibility.
PLO12 Beceriler - Bilişsel, Uygulamalı They demonstrate being aware of the new and developing practices.
PLO13 Beceriler - Bilişsel, Uygulamalı He/She constantly renews himself/herself in statistics and related fields.
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicate in Turkish and English verbally and in writing.
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Transmits the processes and results of their studies clearly in written and oral form in national and international environments.
PLO16 Yetkinlikler - Öğrenme Yetkinliği It considers the social, scientific and ethical values ​​in the collection, processing, use, interpretation and announcement stages of data and in all professional activities.
PLO17 Yetkinlikler - Öğrenme Yetkinliği Uses the hardware and software required for statistical applications.


Week Plan

Week Topic Preparation Methods
1 Convergency in distribution and in probability Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
2 Limiting moment generating function Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
3 The central limit theorem and some theorems on limiting distributions Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
4 Point estimation, confidence intervals Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme, Alıştırma ve Uygulama
5 Tests of statistical hypothesis Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
6 Additional comments about statistical tests Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme, Alıştırma ve Uygulama
7 Measures of quality of estimators Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme, Alıştırma ve Uygulama
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
9 Suffient statistics Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
10 Properties of a sufficient statistics Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
11 Completeness and uniqueness Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
12 The exponential class of probability density functions Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme, Alıştırma ve Uygulama
13 Functions of a parameter Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
14 The case of several parameter Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
15 Minimal sufficient and ancillary statistics Reading the related references and solving problem Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
16 Term Exams Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 12.06.2024 11:40