COURSE UNIT TITLE

: ORDER STATISTICS AND ITS APPLICATIONS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3119 ORDER STATISTICS AND ITS APPLICATIONS ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR TUĞBA YILDIZ

Offered to

Statistics
Statistics(Evening)

Course Objective

This course will emphasis on theoretical and conceptual aspects of order statistics. Lectures will explain the theoretical origins of order statistics and practical implications of order statistics data.

Learning Outcomes of the Course Unit

1   Obtaining probability distribution for order statistics
2   To gain an understanding of the dependence structure of order statistics
3   Classifying order statistics data according to different properties
4   Understanding how to use order statistics in estimation, hypothesis testing and goodness-of-fit tests
5   Understanding the theory behind distribution free confidence and tolerance intervals
6   Demonstrate the ability to solve problems related to order statistics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

IST 2017 - Mathematical Statistics

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basics of Probability, Discrete, Continuous and Mixture Distributions
2 Estimation, Empirical Distribution Function, Hypothesis Testing, Confidence Interval, Likelihood Function
3 Distributions of Order Statistics, Joint Distribution of Two Order Statistics, Conditional Distributions of Order Statistics
4 Some Properties of Order Statistics, Distribution of the Median ,and Some Other Statistics
5 Single Order Statistic of Discrete Order Statistics, Joint Probability Mass Function
6 Dependence Structure, Distribution of the Range
7 Geometric Order Statistics, Order Statistics from a Without Replacement Sample
8 Midterm exam
9 Order Statistics from Bernoulli Distribution, Binomial Distribution and Poisson Distribution
10 Order Statistics from Exponential Distribution and Uniform Distribution
11 Order Statistics from Logistic Distribution, Normal Distribution
12 Types of Order Statistics Data, Order Statistics and Sufficiency
13 Maximum Likelihood Estimation, Linear Estimation of Location and Scale Parameters
14 Prediction of Order Statistics, Distribution Free Confidence and Tolerance Intervals, Goodness-of-Fit Test

Recomended or Required Reading

Textbook(s):
1. B. C. Arnold, N. Balakrishnan, H. N. Nagaraja, A First Course in Order Statistics, Wiley, 1992.
2. M. Ahsanullah and V. B. Nevzorov, Order Statistics: Examples and Exercises, Nova Science, NewYork, 2005.
Supplementary Book(s):
H. A. David, H. N. Nagaraja, Order Statistics, Wiley, 2003

Planned Learning Activities and Teaching Methods

Lecture, homework assignments and problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + ASG * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homework

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-posta: tugba.ozkal@deu.edu.tr
Tel: 0232 301 85 96

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 12 1 12
Preparation for midterm exam 1 24 24
Preparation for final exam 1 32 32
Preparing assignments 1 5 5
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 116

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.155433
LO.255433
LO.355433
LO.455433
LO.555433
LO.655433