Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers

Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers

Abstract: The objective of this work was to compare methods of obtaining the site index for eucalyptus (Eucalyptus spp.) stands, as well as to evaluate their impact on the stability of this index in databases with and without outliers. Three methods were tested, using linear regression, quantile reg...

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Main Authors: Araújo Júnior,Carlos Alberto, Souza,Pábulo Diogo de, Assis,Adriana Leandra de, Cabacinha,Christian Dias, Leite,Helio Garcia, Soares,Carlos Pedro Boechat, Silva,Antonilmar Araújo Lopes da, Castro,Renato Vinícius Oliveira
Format: Digital revista
Language:English
Published: Embrapa Secretaria de Pesquisa e Desenvolvimento 2019
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103200
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103200

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