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Sampling Designs

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Book cover Sampling Spatial Units for Agricultural Surveys

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

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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.

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Notes

  1. 1.

    We should always remember that each sampling scheme is based on pseudo-random number generated by a computer.

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Authors and Affiliations

  1. Department of Economic Studies, “G. d’Annunzio” University of Chieti-Pescara, Pescara, Italy

    Roberto Benedetti & Paolo Postiglione

  2. Agricultural Statistical Service, Italian National Statistical Institute, ISTAT, Rome, Italy

    Federica Piersimoni

Authors
  1. Roberto Benedetti
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  2. Federica Piersimoni
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  3. Paolo Postiglione
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Benedetti, R., Piersimoni, F., Postiglione, P. (2015). Sampling Designs. In: Sampling Spatial Units for Agricultural Surveys. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46008-5_6

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  • DOI: https://doi.org/10.1007/978-3-662-46008-5_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46007-8

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