Acta Univ. Agric. Silvic. Mendelianae Brun. 2011, 59(4), 251-256 | DOI: 10.11118/actaun201159040251
Sample representativeness verification of the FADN CZ farm business sample
- Česká zemědělská univerzita v Praze, Katedra statistiky, Kamýcká 129, 165 21 Praha 6
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.
Keywords: represenatativeness, sample, Farm Accountancy Data Network (FADN), agriculture, statistical methods, results of farming
Received: March 8, 2011; Published: May 29, 2014 Show citation
ACS | AIP | APA | ASA | Harvard | Chicago | IEEE | ISO690 | MLA | NLM | Turabian | Vancouver |
References
- ANDĚL, J., 2003: Statistické metody. Praha: Matfyzpress. ISBN 80-86732-08-8.
- ČERMÁK, V., VRABEC, M., 1999: Teorie výběrových šetření - Část I. Praha: VŠE. ISBN 80-7079-191-8.
- ČERMÁK, V., VRABEC, M., 1998: Teorie výběrových šetření - Část II. Praha: VŠE. ISBN 80-7079-609-X.
- Collective of authors, 2010: Výběrové šetření hospodářských výsledků zemědělských podniků v síti FADN CZ za rok 2008. Praha: ÚZEI.
- PACÁKOVÁ, I., 2008: Statistika v terénních průzkumech. Praha: Professional Publishing. ISBN 978-80-86946-74-0.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.