IDEAS home Printed from https://ideas.repec.org/a/mup/actaun/actaun_2011059040251.html
   My bibliography  Save this article

Sample representativeness verification of the FADN CZ farm business sample

Author

Listed:
  • Marie Prášilová

    (Česká zemědělská univerzita v Praze, Katedra statistiky, Kamýcká 129, 165 21 Praha 6)

  • Rudolf Zeipelt

    (Česká zemědělská univerzita v Praze, Katedra statistiky, Kamýcká 129, 165 21 Praha 6)

Abstract

Sample representativeness verification is one of the key stages of statistical work. After having joined the European Union the Czech Republic joined also the Farm Accountancy Data Network system of the Union. This is a sample of bodies and companies doing business in agriculture. Detailed production and economic data on the results of farming business are collected from that sample annually and results for the entire population of the country's farms are then estimated and assessed. It is important hence, that the sample be representative. Representativeness is to be assessed as to the number of farms included in the survey and also as to the degree of accordance of the measures and indices as related to the population. The paper deals with the special statistical techniques and methods of the FADN CZ sample representativeness verification including the necessary sample size statement procedure. The Czech farm population data have been obtained from the Czech Statistical Office data bank.

Suggested Citation

  • Marie Prášilová & Rudolf Zeipelt, 2011. "Sample representativeness verification of the FADN CZ farm business sample," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(4), pages 251-256.
  • Handle: RePEc:mup:actaun:actaun_2011059040251
    DOI: 10.11118/actaun201159040251
    as

    Download full text from publisher

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201159040251.html
    Download Restriction: free of charge

    File URL: http://acta.mendelu.cz/doi/10.11118/actaun201159040251.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.11118/actaun201159040251?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zuzana Hloušková & Marie Prášilová, 2017. "Classification of Specialized Farms Applying Multivariate Statistical Methods," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(3), pages 1007-1014.

    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:mup:actaun:actaun_2011059040251. 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: Ivo Andrle (email available below). General contact details of provider: https://mendelu.cz/en/ .

    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.