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NOVA PhD Course "Introduction to Survey Sampling" - Open for Applications

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    Shutterstock, Mila Supinskaya

The course will take place on 3-7 Sept. 2018 in Umeå, Sweden.
Application deadline: 1 Jul. 2018

The course is of 3 ECTS and is organised by Docent Svetlana Saarela, Swedish University of Agricultural Sciences (SLU).

NOVA course information web page

Apply here

Course Description
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. The course will include pre-course self-study through literature reading, and post-course home exam.

Content
This course is an introduction course, i.e. the most common sampling designs such as simple random sampling and systematic sampling will be covered at full extent; yet advanced sampling designs such as probabilityproportional-to-size sampling and distance sampling will be introduced as well.

Programme Outline

  • Monday before lunch: Introduction to Survey Sampling.
  • Monday after lunch: Simple random sampling without replacement.

  • Tuesday before lunch: Simple random sampling with replacement.
  • Tuesday after lunch: Exercises on simple random sampling with/without replacement.

  • Wednesday before lunch: Systematic sampling.
  • Wednesday after lunch: Seminar on systematic, and line and point transect sampling; and exercises on systematic sampling.

  • Thursday before lunch: Unequal-probability sampling: probability-proportional-to-size sampling.
  • Thursday after lunch: Exercises on unequal probability sampling.

  • Friday before lunch: Line and point transect sampling (distance sampling).
  • Friday after lunch: Exercise on line and point transect sampling.

Main teachers:

  • Svetlana Saarela, Docent in Forest Biometrics, Dr.Sc. (Agr. & For.), Associate Senior Lecturer in Forest Inventory and Sampling, Department of Forest Resource Management, Swedish University of Agricultural Sciences (SLU)
  • Mark J. Ducey, PhD, Professor of Forest Biometrics and Management, Senior Fellow, The Carsey School of Public Policy, University of New Hampshire.
  • Lauri Mehtätalo, Docent in Forest Biometrics, PhD, Associate professor in Applied Statistics, School of Computing, University of Eastern Finland (UEF).
  • Stefano Puliti, PhD, Research Scientist, Division of Forest and Forest Resources, National Forest Inventory, Norwegian Institute of Bioeconomy Research (NIBIO).

Please find more information on the course and on how to apply here:
https://www.nmbu.no/en/students/nova/students/phd-courses/phd-courses-2018/node/34535

Published 18. April 2018 - 14:11 - Updated 18. April 2018 - 14:23

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