@misc{10481/66075,
year = {2020},
month = {11},
url = {http://hdl.handle.net/10481/66075},
abstract = {Although the numbers are relatively small with respect to non-organic livestock,
the importance of organic livestock farms lies in their sustainable coexistence with the natural
environment and in the high-quality food products obtained. In this type of production, no artificial
chemicals or genetically modified organisms are used, therefore there will be less impact on the
environment and, in most cases, native breeds are employed. This paper describes a geostatistical
study of organic livestock farms in Andalusia (southern Spain), conducted using information from
the 2009 Agricultural Census, by classes of livestock. This region currently records the highest
output in Spain for organic livestock farming. The number of farms was fitted according to the
univariate generalizedWaring distribution, which is presented as a means of analyzing this type of
discrete measurement, using agricultural or livestock data. The Waring distribution is used when
the frequency of occurrence of a phenomenon is very low and allows one to divide the variance.
The most important outcome of this study is the finding that livestock data variability is mainly due
to external factors such as the proneness component of the variance.},
organization = {Faculty of Social and Legal Sciences (Melilla)},
organization = {Department of Statistics and Operational Research},
organization = {Research Group "Survival Analysis and Probability Distributions"},
organization = {Office for Political Science and Research, through the project "Social-Labour Statistics and Demography" at the University of Granada (Spain)},
publisher = {Mdpi},
keywords = {Agricultural census},
keywords = {Modelling},
keywords = {Organic livestock farming},
keywords = {Waring distribution},
title = {The Waring Distribution as a Low-Frequency Prediction Model: A Study of Organic Livestock Farms in Andalusia},
doi = {10.3390/math8112025},
author = {García-Ligero Ramírez, María Jesús and Marmolejo Martín, Juan Antonio},
}