The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity
The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity |
Computational Economics Skip to main content SpringerLink Account Menu Find a journal …
Computational Economics Skip to main content SpringerLink Account Menu Find a journal …
Richness and composition of macrofungi on large decaying trees in a Central European old-growth forest: a case study on silver fir (Abies alba)
J Holec, T Kučera - Mycological Progress, 2020 - Springer
The species richness and composition of macrofungi on huge fallen trunks of silver fir (Abies
alba) were monitored during a case study in the well-preserved Boubínský prales virgin …
alba) were monitored during a case study in the well-preserved Boubínský prales virgin …
The impact of automation and knowledge workers on employees' outcomes: Mediating role of knowledge transfer
NJ Itoe Mote, G Karadas - Sustainability, 2022 - mdpi.com
While there are existing empirical reviews regarding the relation between knowledge
workers (KW) and knowledge transfer (KT), no study has examined the association of …
workers (KW) and knowledge transfer (KT), no study has examined the association of …
A redefined variance inflation factor: overcoming the limitations of the variance inflation factor
R Salmerón-Gómez, CB García-García… - Computational …, 2024 - Springer
The variance inflation factor is one the most applied tools for diagnosing the possible
existence of multicollinearity in a multiple linear regression model. However, the VIF can …
existence of multicollinearity in a multiple linear regression model. However, the VIF can …
Detection of Near-Nulticollinearity through Centered and Noncentered Regression
This paper analyzes the diagnostic of near-multicollinearity in a multiple linear regression
from auxiliary centered (with intercept) and noncentered (without intercept) regressions …
from auxiliary centered (with intercept) and noncentered (without intercept) regressions …
A Nomogram for Predicting ADHD and ASD in Child and Adolescent Mental Health Services (CAMHS)
H Blasco-Fontecilla, C Li, M Vizcaino… - Journal of Clinical …, 2024 - mdpi.com
Objectives: To enhance the early detection of Attention Deficit/Hyperactivity Disorder
(ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at …
(ADHD) and Autism Spectrum Disorder (ASD) by leveraging clinical variables collected at …
[HTML][HTML] MTest: a bootstrap test for multicollinearity
V Morales-Oñate, B Morales Oñate - Revista Politécnica, 2023 - scielo.senescyt.gob.ec
Se propone una prueba no paramétrica basada en bootstrap para detectar
multicolinealidad: MTest. Esta prueba brinda soporte estadístico a dos de los métodos más …
multicolinealidad: MTest. Esta prueba brinda soporte estadístico a dos de los métodos más …
MTest: una Prueba bootstrap para Multicolinealidad
VM Oñate, B Morales-Oñate - Revista Politécnica, 2023 - revistapolitecnica.epn.edu.ec
Se propone una prueba no paramétrica basada en bootstrap para detectar
multicolinealidad: MTest. Esta prueba brinda soporte estadístico a dos de los métodos más …
multicolinealidad: MTest. Esta prueba brinda soporte estadístico a dos de los métodos más …
Obtaining a threshold for the stewart index and its extension to ridge regression
AR Sánchez, RS Gómez, CG García - Computational Statistics, 2021 - Springer
The linear regression model is widely applied to measure the relationship between a
dependent variable and a set of independent variables. When the independent variables …
dependent variable and a set of independent variables. When the independent variables …
Strengthening ecologically based rodent management in the Philippines using maximum entropy (MaxEnt) predictions
DSC Castillo, M Higa - Journal of Tropical Ecology, 2024 - cambridge.org
Rattus species pose a significant threat to the Philippines, causing substantial economic
losses in agriculture and posing health risks to humans. While Ecologically Based Rodent …
losses in agriculture and posing health risks to humans. While Ecologically Based Rodent …