Buscar
Mostrando ítems 1-10 de 238
Hierarchical density estimates for data clustering, visualization, and outlier detection
(ACMNew York, 2015-07)
An integrated framework for density-based cluster analysis, outlier detection, and data visualization is introduced in this article. The main module consists of an algorithm to compute hierarchical estimates of the level ...
Protocol for automating error removal from yield maps
(Springer, 2019-10)
Yield mapping is one of the most widely used precision farming technologies. However, the value of the maps can be compromised by the presence of systematic and random errors in raw within field data. In this paper, an ...
Propuesta metodológica para la detención de Outliers en el sistema de información estadístico del Poder Judicial de la República del Perú, 2013
(Universidad Nacional de Ingeniería, 2017)
Propuesta metodológica para la detención de Outliers en el sistema de información estadístico del Poder Judicial de la República del Perú, 2013
(Universidad Nacional de Ingeniería, 2017)
Curvas de índices de local em povoamentos de eucalipto obtidas por regressão quantílica
(Universidade Federal de Minas GeraisBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASUFMG, 2016)
The objective of this work was to obtain site index curves in eucalyptus plantations by quantile regression, and to compare them to the obtained ones with the use of fitted regressions by the method of ordinary least ...
Addressing non-normality in multivariate analysis using the t-distribution
(2023)
The main aim of this paper is to propose a set of tools for assessing non-normality taking into consideration the class of multivariate t-distributions. Assuming second moment existence, we consider a reparameterized version ...
Detecção de outliers espaciais: refinamento de similaridade e desempenho
(Universidade Estadual Paulista (Unesp), 2015-03-06)
The progress and development of technologies used to collect spatial information resulted in an increase in the amount of spatial data stored in databases. This also caused many problems, common in large databases, such ...
Diseño de herramienta computacional basada en machine learning para la detección de desviaciones de consumoComputational tool design based on machine learning for energy consumption outlier detection
(Barranquilla, Universidad del Norte, 2018, 2018)
A note on influence diagnostics in AR(1) time series models
(Elsevier Science BvAmsterdamHolanda, 2012)