PFS0151 Introduction to Survey Sampling, 3.0 Credits
Subjects Mathematic Statistics
No Level Indicated
Pass / Failed
The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.
The course is primarily intended for postgraduate students (MSc, PhD students), but post-doctoral researchers are also welcome to attend.
It is recommended that participants have a basic knowledge in statistics, e.g. acquired though participation in the basic statistics course at the Master level. Basic knowledge in linear algebra is expected but not mandatory.
Upon successful completion of the course, participants will be able to understand general concepts of survey sampling and design-based inference theory, and to analyse data based on basic designs such as simple random sampling, stratified sampling, unequal probability sampling, and distance sampling. The course is intended for students and researchers of ecology, natural resources, forestry, agriculture and environmental sciences who need to know how to sample natural populations and continuums in a statistically sound manner.
• General sampling concept
• Simple random sampling
• Systematic sampling
• Unequal probability sampling
• Stratified sampling
• Cluster sampling
• Sample plot inventory
• Point and line transect sampling
• Seminar in the end of the course (actives students’ participation is mandatory)
Formats and requirements for examination
The participant will receive 3.0 credits upon successful completion of the course and participation in the seminar in the end of the course.
The computer exercises will be done in the lecture room using private laptop computers.
Department of Forest Resource Management