Disaggregation of Statistical Livestock Data Using the Entropy Approach
Joint Authors
Xavier, António
Costa Freitas, Maria de Belém
Fragoso, Rui
Source
Advances in Operations Research
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
A process of agricultural data disaggregation is developed to address the lack of updated disaggregated data concerning main livestock categories at subregional and county level in the Alentejo Region, southern Portugal.
The model developed considers that the number of livestock units is a function of the agricultural and forest occupation, and data concerning the existing agricultural and forest occupation, as well as the conversion of livestock numbers into normal heads, are needed in order to find this relation.
The weight of each livestock class is estimated using a dynamic process based on a generalized maximum entropy model and on a crossentropy minimization model, which comprises two stages.
The model was applied to the county of Castelo de Vide and their results were validated in cross reference to real data from different sources.
American Psychological Association (APA)
Xavier, António& Costa Freitas, Maria de Belém& Fragoso, Rui. 2014. Disaggregation of Statistical Livestock Data Using the Entropy Approach. Advances in Operations Research،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-468952
Modern Language Association (MLA)
Xavier, António…[et al.]. Disaggregation of Statistical Livestock Data Using the Entropy Approach. Advances in Operations Research No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-468952
American Medical Association (AMA)
Xavier, António& Costa Freitas, Maria de Belém& Fragoso, Rui. Disaggregation of Statistical Livestock Data Using the Entropy Approach. Advances in Operations Research. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-468952
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468952