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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 5057 ADVANCED STATISTICS COMPULSORY 3 0 0 5

Offered By

Econometrics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ALI KEMAL ŞEHIRLIOĞLU

Offered to

Econometrics

Course Objective

The aim of course is to introduce complex and advanced statistical techniques, research, and knowledge to make presentations on the application of advanced statistical techniques.

Learning Outcomes of the Course Unit

1   To be able to use important discrete and continuous distributions. 2   To be able to make point estimates of population parameters 3   To be able to form confidence interval for the estimation of population parameters under certain assumptions. 4   To be able to conduct hypothesis tests for population parameters to make certain assumptions.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Forecasting 2 Continuous and discrete distributions 3 Variable transformation 4 Transformation of variables in multivariate distributions 5 Central limit theorem 6 Continuous Uniform, Exponential, Gamma and Normal Distribution on Applications of estimators 7 Definition of Maximum Likelihood Method and Mathematical Structure 8 Mid-term 9 Regression and ANOVA 10 multivariate regression 11 Theory and practice of Confidence Intervals 12 Sampling distributions, order statistics, nonparametric methods 13 Statistical Hypothesis Testing Theory and Application 14 MANOVA and MANCOVA methods

Recomended or Required Reading

1- Mathematical Statistics, Prentice Hall, Freund, J.E. 2- Introduction to the Theory of Statistics, McGraw-Hill Book, Mood, A.M., Graybill, F.A.

Planned Learning Activities and Teaching Methods

Lecture Method, Proof Method, Discussion Method and Problem Solving Method

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 30 30 Preparation for final exam 1 30 30 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 131

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 LO.1 1 1 1 LO.2 1 1 1 LO.3 1 1 1 LO.4 1 1 1