LOCAL INFLUENCE IN A LINEAR MODEL SPACE USING SOYBEAN PRODUCTIVITY WITH T-STUDENT DISTRIBUITION

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dc.contributor.authordo Prado, Naimara V.
dc.contributor.authorUribe Opazo, Miguel A.
dc.contributor.authorGalea, Manuel
dc.contributor.authorAssumpcao, Rosangela A. B.
dc.date.accessioned2024-01-10T12:06:21Z
dc.date.available2024-01-10T12:06:21Z
dc.date.issued2013
dc.description.abstractThe use of geostatistical tools combined with precision agriculture, allow the monitoring of agricultural soybean producing areas, establishing relationships of spatial dependence between the sampled points. The modeling of spatial variability structure enables the construction of thematic maps of the attributes studied, using the kriging as the interpolation method. However, the presence of outliers among the elements sampling can influence the construction and interpretation of these maps. The distribution of t-Student probability has been used in attempts to reduce the influence of atypical points in the estimation of parameters of spatial dependence, having heavier tails than the normal distribution of probabilities. The detection of influential points in the study area, through the analysis of local influence diagnostics, provides greater reliability in the use of maps, providing an efficient use of inputs. Then, the objective was to apply the techniques of local influence on spatially referenced data with models of disturbance and using the matrix additive scale, considering the distribution t-Student n-variate. It was used a linear spatial model for the study of soybean yield data as a function of average plant height and number of pods per plant. The local influence techniques were effective to detect points that influence in the geostatistical model selection, estimation of parameters and construction of thematic maps.
dc.format.extent14 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1590/S0100-69162013000500012
dc.identifier.issn0100-6916
dc.identifier.urihttps://doi.org/10.1590/S0100-69162013000500012
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76148
dc.identifier.wosidWOS:000327547600012
dc.information.autorucMatemática;Galea M;S/I;1008589
dc.issue.numero5
dc.language.isopt
dc.nota.accesoSin adjunto
dc.pagina.final1016
dc.pagina.inicio1003
dc.publisherSOC BRASIL ENGENHARIA AGRICOLA
dc.revistaENGENHARIA AGRICOLA
dc.rightsregistro bibliográfico
dc.subjectmaximum likelihood
dc.subjectspatial variability
dc.subjectdiagnostics
dc.subjectSPATIAL VARIABILITY
dc.subjectDIAGNOSTICS
dc.subject.ods02 Zero Hunger
dc.subject.odspa02 Hambre cero
dc.titleLOCAL INFLUENCE IN A LINEAR MODEL SPACE USING SOYBEAN PRODUCTIVITY WITH T-STUDENT DISTRIBUITION
dc.typeartículo
dc.volumen33
sipa.codpersvinculados1008589
sipa.indexWOS
sipa.indexScielo
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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