GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

ROBUST STATISTICAL INFERENCE/5141303

Course Title:	ROBUST STATISTICAL INFERENCE
Credits	3	ECTS	7.5
Semester	1	Compulsory/Elective	Elective

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Asist. Prof. Dr. Necla GÜNDÜZ

-- WEB SITE(S) OF LECTURER(S)

www.gazi.edu.tr~ngunduz

-- EMAIL(S) OF LECTURER(S)

ngunduz@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

To be aware of the need of robust estimators and to gain the ability of using robust estimators.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

There is no prerequisite or co-requisite for this course.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course.

--COURSE CONTENT
1. Week	A robust approaches to statistical concepts
2. Week	Investigation the behavior of estimators when data is changes a little
3. Week	A robustness discussion about linear regression coefficient and correlation coefficient
4. Week	Modelling of location parameter and related ideas
5. Week	M-estimators for location parameters and distribution properties
6. Week	L-estimators, weighting function
7. Week	Dispersion estimators
8. Week	M-estimatorss for scale parameters
9. Week	Applications for M-estimators: robust confidence interval and hypothesis testing
10. Week	Measuring robustness
11. Week	Mid-term exam
12. Week	Influence function of estimators and applications, Breakdown point of estimators and applications
13. Week	Maximum asymptotic bias
14. Week	Estimates of functional
15. Week	Influence function of M-estimators
16. Week	Final exam

-- RECOMMENDED OR REQUIRED READING

Huber, P. J., 1981. "Robust statistics" Wiley, Newyork Maronna, R. A., Martin, R. D., Yohai, V. J., 2006. "Robust statistics: Theory and Methods

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture

-- WORK PLACEMENT(S)

----

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	1	40
Assignment	0	0
Exercises	0	0
Projects	0	0
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		40
Contribution of Final Examination to Overall Grade		60

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	14	3	42
Practising Hours of Course Per Week	0	0	0
Reading	10	3	30
Searching in Internet and Library	10	4	40
Designing and Applying Materials	0	0	0
Preparing Reports	10	3	30
Preparing Presentation	5	3	15
Presentation	5	3	15
Mid-Term and Studying for Mid-Term	3	3	9
Final and Studying for Final	3	3	9
Other	0	0	0
TOTAL WORKLOAD:			190
TOTAL WORKLOAD / 25:			7.6
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

Gazi University