IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-662-46008-5_11.html
   My bibliography  Save this book chapter

Small Area Estimation

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

Sample survey methods are used to provide direct estimates for the total of variables of the population under investigation and for sub-populations or domains. An important aim of many statistical agencies is to efficiently estimate population characteristics for small domains or areas. The term small area typically refers to a small geographically defined domain such as a county, municipality, or administrative division, a spatial population, such as a type of crop or a particular economic activity, or a subgroup of people with the same sex, race, or other characteristics. In this chapter, we describe the problems and main methodologies of small area estimation, with applications to artificial and agricultural data.

Suggested Citation

  • Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2015. "Small Area Estimation," Advances in Spatial Science, in: Sampling Spatial Units for Agricultural Surveys, edition 127, chapter 0, pages 271-304, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-46008-5_11
    DOI: 10.1007/978-3-662-46008-5_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:adspcp:978-3-662-46008-5_11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.