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PFS0151
Introduction to Survey Sampling
• 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)
• 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)
Syllabus and other information
Syllabus
PFS0151 Introduction to Survey Sampling, 3.0 Credits
Subjects
Mathematical StatisticsEducation cycle
Postgraduate levelGrading scale
Pass / Failed
Prior knowledge
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.
Objectives
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.Content
• 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)Additional information
The computer exercises will be done in the lecture room using private laptop computers.Responsible department
Department of Forest Resource Management