ZO601 Statistical Inference

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

Information

Code ZO601
Name Statistical Inference
Term 2023-2024 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÖKHAN TAMER KAYAALP


Course Goal / Objective

The course aims to interpret statistical methods.

Course Content

The course includes the theory and interpretation of statistical methods.

Course Precondition

None

Resources

Unpublished Lecture Text Notes

Notes

Graybill 1988. Introduction to Statistics


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the theory of statistical methods.
LO02 Learns the places where statistical methods are applied.
LO03 Learns the interpretation of statistical analysis results.
LO04 Learns the use of statistical package programs.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal After undergraduate education, increases knowledge in one of the fields of animal breeding and breeding, feeds and animal nutrition, biometrics and genetics. 5
PLO02 Bilgi - Kuramsal, Olgusal Understands the interaction between different disciplines 4
PLO03 Bilgi - Kuramsal, Olgusal Gains the ability to develop strategic approaches and produce regional, national or international solutions for the field of animal science 3
PLO04 Bilgi - Kuramsal, Olgusal Gains the ability to develop knowledge with scientific methods by using the data in animal science, and to use this knowledge with the awareness of scientific, social and ethical responsibility.
PLO05 Bilgi - Kuramsal, Olgusal Gains the ability to use and develop information technologies with computer software and hardware knowledge required by the field of animal science. 5
PLO06 Bilgi - Kuramsal, Olgusal Gains the ability to convey their own studies or current developments in the field of animal science to groups in the field or other fields of science, verbally and visually. 3
PLO07 Bilgi - Kuramsal, Olgusal Gains the ability to evaluate the quality processes of animal products
PLO08 Bilgi - Kuramsal, Olgusal Gains the ability to keep animal production dynamic in accordance with changing economic and social conditions.
PLO09 Bilgi - Kuramsal, Olgusal Gains the ability to follow national and international current issues, to follow developments in lifelong learning, science and technology, to constantly renew themselves and to transfer innovations to animal production.
PLO10 Bilgi - Kuramsal, Olgusal Hayvansal ürünler ile insan sağlığı ve toplum refahı arasındaki ilişkiyi özümser


Week Plan

Week Topic Preparation Methods
1 Coincidence variables, probability distributions Working from the textbook Öğretim Yöntemleri:
Anlatım
2 multivariate distributions. Working from the textbook Öğretim Yöntemleri:
Anlatım
3 hypothesis testing Working from the textbook Öğretim Yöntemleri:
Anlatım
4 Confidence Intervals Working from the textbook Öğretim Yöntemleri:
Anlatım
5 likelihood methods Working from the textbook Öğretim Yöntemleri:
Anlatım
6 maximum likelihood estimation and likelihood ratio tests Working from the textbook Öğretim Yöntemleri:
Anlatım
7 likelihood ratio tests Working from the textbook Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Working from the textbook Ölçme Yöntemleri:
Yazılı Sınav
9 marginal conditional and partial likelihoods Working from the textbook Öğretim Yöntemleri:
Anlatım
10 Quasi-likelihood and predictive equations Working from the textbook Öğretim Yöntemleri:
Anlatım
11 resampling methods, Working from the textbook Öğretim Yöntemleri:
Anlatım
12 jackknifing and bootstrapping. Working from the textbook Öğretim Yöntemleri:
Anlatım
13 expected values Working from the textbook Öğretim Yöntemleri:
Anlatım
14 moment generating functions Working from the textbook Öğretim Yöntemleri:
Anlatım
15 transformations between distributions, Working from the textbook Öğretim Yöntemleri:
Anlatım
16 Term Exams Working from the textbook Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Working from the textbook 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: 15.05.2023 03:58