Detection of Influential Observations in Spatial Regression Model Based on Outliers and Bad Leverage Classification
Influential observations (IOs), which are outliers in the x direction, y direction or both, remain a problem in the classical regression model fitting. Spatial regression models have a peculiar kind of outliers because they are local in nature. Spatial regression models are also not free from the ef...
Guardado en:
Autores principales: | Ali Mohammed Baba, Habshah Midi, Mohd Bakri Adam, Nur Haizum Abd Rahman |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3bcd8390d89d4cc888ff60c819805569 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
ON THE IMPORTANCE OF THE ARRIVAL OF NEW INFORMATION
por: CHUMACERO,RÓMULO A
Publicado: (2010) -
Outliers detection and treatment: a review.
por: Denis Cousineau, et al.
Publicado: (2010) -
An Improvised SIMPLS Estimator Based on MRCD-PCA Weighting Function and Its Application to Real Data
por: Siti Zahariah, et al.
Publicado: (2021) -
Robust analysis of the central tendency, simple and multiple regression and ANOVA: a step by step tutorial.
por: Delphine S. Courvoisier, et al.
Publicado: (2010) -
Identifying Influential SLD Authoritative Name Servers on the Internet
por: Haiyan Xu, et al.
Publicado: (2021)