Sampling and Estimation
Sampling methodology is about drawing representative samples from a finite population and how to best use existing information. In this course you will learn about the most commonly used sampling designs.
This course gives you useful knowledge about planning and assessing different types of survey designs. You will learn to explain the advantages and disadvantages of standard sampling designs, how to choose appropriate sampling designs for different selection problems and how to choose suitable estimators depending on the problem and the access to auxiliary information. You will be able to carry out estimation and precision estimation on data from different sampling designs, with and without auxiliary information and to describe and use common estimation methods for non-response problems, including imputation and calibration. The course treats several different sampling methods and different estimation procedures are discussed.
The methods you will learn through the course are: simple random sampling, stratified sampling, sampling with varying inclusion probabilities (known as πps-sampling), cluster sampling, multistage sampling and systematic sampling. Within the course you will discuss how to choose between methods and designs and how to implement them. The course also discusses different estimation procedures, particularly when there are different types of auxiliary information in the frame.
You will also get insights about the literature and scientific publications on the field.
Information for admitted students autumn 2024
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
-
Activate your university account
The first step in being able to register and gain access to all the university's IT services.
-
Register at your department
Registration can be done in different ways. Read the instructions from your department below.
-
Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
Read more
For new international students
This course gives you useful knowledge about planning and assessing different types of survey designs. You will learn to explain the advantages and disadvantages of standard sampling designs, how to choose appropriate sampling designs for different selection problems and how to choose suitable estimators depending on the problem and the access to auxiliary information. You will be able to carry out estimation and precision estimation on data from different sampling designs, with and without auxiliary information and to describe and use common estimation methods for non-response problems, including imputation and calibration. The course treats several different sampling methods and different estimation procedures are discussed.
The methods you will learn through the course are: simple random sampling, stratified sampling, sampling with varying inclusion probabilities (known as πps-sampling), cluster sampling, multistage sampling and systematic sampling. Within the course you will discuss how to choose between methods and designs and how to implement them. The course also discusses different estimation procedures, particularly when there are different types of auxiliary information in the frame.
You will also get insights about the literature and scientific publications on the field.
-
Course structure
The course is given at day time, full time.
The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.
Teaching format
The teaching forms consist of lectures and exercises.
Language: English
Course information
-
Course description ht-22 (51 Kb)
More information for registered students will be found in Athena.
Assessment
Examination will be in the form of written and oral examination.
Examiner
Teacher Fall semester 2022
Course coordinator
You will find Edgar's reception hours in the link above. If you want to visit Edgar outside of his reception hours, you are welcome to e-mail him for an appointment.
-
-
Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Course reports
-
Contact
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
