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Sampling Designs

In: Sampling Spatial Units for Agricultural Surveys

Author

Listed:
  • Roberto Benedetti

    (“G. d’Annunzio” University of Chieti-Pescara)

  • Federica Piersimoni

    (Italian National Statistical Institute, ISTAT)

  • Paolo Postiglione

    (“G. d’Annunzio” University of Chieti-Pescara)

Abstract

The sample design is the most important stage of a survey, because any deficiencies cannot generally be compensated for during data editing and analysis. The classical designs for selecting random samples such as simple random sampling, stratification, and multistage cluster sampling were all developed to minimize the survey cost, while controlling the uncertainty associated with the estimates. Each scheme has advantages and disadvantages, but generally a combination can achieve stable and acceptable results in any field of statistical research. In this chapter, we review the main basic sampling designs.

Suggested Citation

  • Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2015. "Sampling Designs," Advances in Spatial Science, in: Sampling Spatial Units for Agricultural Surveys, edition 127, chapter 0, pages 103-147, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-46008-5_6
    DOI: 10.1007/978-3-662-46008-5_6
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