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Intelligent Models To Identification And Treatment Of Outliers In Electrical Load Data
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2016)
Estudo sobre a metodologia de apuração da taxa DI-Cetip e seus impactos no mercado
(2016-08-12)
O objetivo deste trabalho é comparar as metodologias anterior e atual da taxa DI-Cetip e indicar as suscetibilidades de cada procedimento. Por meio da geração de operações com taxas e volumes coerentes com o histórico, foi ...
Outliers detection and treatment: a reviewDetección y tratamiento de valores extremos: una revisión
(PsicologíaMedellín, 2018)
Outliers detection and treatment: a review
(PsicologíaMedellín, 2010)
Los valores extremos son observaciones o medidas que son sospechosas en tanto que son mucho menores o mucho mayores que el resto de las observaciones. Estas observaciones son problemáticas en tanto que puede que no sean ...
Outliers in semi-parametric Estimation of Treatment Effects
(Universidad EAFITEscuela de Economía y Finanzas, 2017-10-30)
Average treatment effects estimands can present significant bias under the presence of outliers. Moreover, outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric ATE estimads. ...
Preprocessing alternatives for compositional data related to water, sanitation and hygiene
The Sustainable Development Goals (SDGs) 6.1 and 6.2 measure the progress of urban and rural populations in
their access to different levels of water, sanitation and hygiene (WASH) services, based on multiple sources of ...
Bayesian clustering and product partition models
(BLACKWELL PUBL LTD, 2003)
We present a decision theoretic formulation of product partition models (PPMs) that allows a formal treatment of different decision problems such as estimation or hypothesis testing and clustering methods simultaneously. ...