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http://repositorio.ufla.br/jspui/handle/1/11012
Title: | Procedimento para identificar outliers por meio da distribuição acumulada de mínimo em um modelo com resposta gama |
Other Titles: | Procedure to identify outliers through the minimum cumulative distribution on a model with gamma response |
Authors: | Cirillo, Marcelo Ângelo Muniz, Joel Augusto Brighenti, Carla Regina Guimarães |
Keywords: | Simulação Monte Carlo Distância de Mahalanobis Taxa de mistura Dispersãoparâmetro de dispersão GLM Monte Carlo simulation Mahalanobis distance Mixing rate Dispersion parameter |
Issue Date: | 8-Apr-2016 |
Publisher: | Universidade Federal de Lavras |
Citation: | RESENDE, M. Procedimento para identificar outliers por meio da distribuição acumulada de mínimo em um modelo com resposta gama. 2016. 50 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária)-Universidade Federal de Lavras, Lavras, 2016. |
Abstract: | This study aimed to propose a procedure based on the accumulated distribution of minimums to identify generalized outlier models by using Gamma response. To validate this methodology, we used Monte Carlo simulation, considering the scenarios defined by the combination of different sample sizes, the contamination rate and the distributions with different degrees of asymmetry. In this context, probabilities related to classification and accuracy errors were obtained from 500 Monte Carlo achievements. We concluded that the method is effective for presenting high accuracy probability. In terms of implementation, through the illustrated example, given the similarity between the new proposed approach, compared to approaches based by the lever matrix and Cook’s distance, we conclude that the procedure suggested in this study is feasible for implementation in response to Gamma distribution. |
URI: | http://repositorio.ufla.br/jspui/handle/1/11012 |
Appears in Collections: | Estatística e Experimentação Agropecuária - Mestrado (Dissertações) |
Files in This Item:
File | Description | Size | Format | |
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DISSERTAÇÃO_Procedimento para identificar outliers por meio da distribuição acumulada de mínimo em um modelo com resposta gama.pdf | 1,07 MB | Adobe PDF | View/Open |
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