Mostrar el registro sencillo del ítem
dc.contributor.author
Mentz, Raul Pedro
dc.contributor.author
D'Urso, M.A.
dc.contributor.author
Jarma, Nora Monica
dc.contributor.author
Mentz, G.B.
dc.date.available
2021-07-14T13:59:27Z
dc.date.issued
2000-02
dc.identifier.citation
Mentz, Raul Pedro; D'Urso, M.A.; Jarma, Nora Monica; Mentz, G.B.; Cyclical components of local rainfall data; John Wiley & Sons Ltd; International Journal of Climatology; 20; 2; 2-2000; 211-228
dc.identifier.issn
0899-8418
dc.identifier.uri
http://hdl.handle.net/11336/136086
dc.description.abstract
This paper reports on the use of a comparatively simple statistical methodology to study local short time series rainfall data. The objective is to help in agricultural planning, by disminishing the risk associated with some uncertainties affecting this business activity. The analysis starts by assming a model of unobservable components, trend, cycle, seasonal and irregular, that is well known in many areas of application. When series are in the realm of business and economics, the statistical methods popularized by the US Census Bureau and US National Bureau of Economic Research are used for seasonal and cyclical estimation, respectively. The flexibility of these methods makes them good candiates to be applied in the meteorological context, and this is done in this paper for a selection of monthly rainfall time series. Use of the results to help in analysing and forecasting cyclical components is emphasized. The results are interesting. An agricultural entrepreneur, or a group of them located in a single ggeografical region, will profit by systematically collecting information (monthly in our work) about rainfall, and adopting the scheme of analysis described in this paper.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
RAINFALL IN ARGENTINA
dc.subject
UNOBSERVABLE COMPONENTS
dc.subject
X-12-ARIMA SEASONAL PROCEDURE
dc.subject
DATING CYCLICAL TURNING POINTS
dc.subject.classification
Estadística y Probabilidad
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Cyclical components of local rainfall data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-02-17T20:57:18Z
dc.journal.volume
20
dc.journal.number
2
dc.journal.pagination
211-228
dc.journal.pais
Reino Unido
dc.journal.ciudad
LOndres
dc.description.fil
Fil: Mentz, Raul Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Estudios Sociales. Universidad Nacional de Tucumán. Instituto Superior de Estudios Sociales; Argentina
dc.description.fil
Fil: D'Urso, M.A.. Universidad Nacional de Tucumán. Facultad de Ciencias Económicas; Argentina
dc.description.fil
Fil: Jarma, Nora Monica. Universidad Nacional de Tucumán. Facultad de Ciencias Económicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina
dc.description.fil
Fil: Mentz, G.B.. Universidad Nacional de Tucumán. Facultad de Ciencias Económicas; Argentina
dc.journal.title
International Journal of Climatology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/%28SICI%291097-0088%28200002%2920%3A2%3C211%3A%3AAID-JOC462%3E3.0.CO%3B2-P
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1002/(SICI)1097-0088(200002)20:2%3C211::AID-JOC462%3E3.0.CO;2-P
Archivos asociados