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pro vyhledávání: '"Cleber M. Xavier"'
Autor:
Raydonal Ospina, Cleber M. Xavier, Gustavo H. Esteves, Patrícia L. Espinheira, Cecilia Castro, Víctor Leiva
Publikováno v:
Symmetry, Vol 16, Iss 11, p 1510 (2024)
High-dimensional gene expression data cause challenges for traditional statistical tools, particularly when dealing with non-linear relationships and outliers. The present study addresses these challenges by employing a generalized correlation coeffi
Externí odkaz:
https://doaj.org/article/3aaf02c746b4499db35cc1a2ebb46f37
Autor:
Raydonal Ospina, Patrícia L. Espinheira, Leilo A. Arias, Cleber M. Xavier, Víctor Leiva, Cecilia Castro
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3196 (2024)
Residuals are essential in regression analysis for evaluating model adequacy, validating assumptions, and detecting outliers or influential data. While traditional residuals perform well in linear regression, they face limitations in exponential fami
Externí odkaz:
https://doaj.org/article/88ec79bf596a4f7e8569aa306092e6cc