Types of Samples

Samples can be classified in several ways, one of the most relevant to the field of natural resource sampling is to classify samples by type as follows:

  • Random sampling - Common method described in the textbooks samples draw from population so that each sampled unit has equal probability of being sampled.

    • Advantages: unbiased statistical properties.

    • Disadvantages: Difficult to implement in the field.

Random Sample with replacement
Example of random sample with replacement
     

    Also See:

    Chapter 2 - Random Sampling pages 16-17,  in:

    Zar, J. H. 2007. Biostatistical Analysis. Prentice-Hall, Inc. Englewood Cliffs, New Jersey. 718 pp.

    Chapter 12 - Simple Random Sampling  pages 156-192, in:

    Husch, B., T. W. Beers and J. A Kershaw. 2003. Forest Mensuration. Fourth Edition. John Wiley and Sons, Hoboken, New Jersey 443 p.

    Chapter 6 - Sample Designs - Random Sampling pages 200-236, in:

    Krebs, C. J. 1998. Ecological Methodology. Harper and Row, Publishers. New York. 654 pp.


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Natural Resources Biometrics by David R. Larsen is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .

Author: Dr. David R. Larsen
Created: August 17, 1998
Last Updated: September 13, 2014