A review of ridge parameter selection: minimization of the mean squared error vs. mitigation of multicollinearity
C Garcia Garcia, R Salmeron Gomez… - … in Statistics-Simulation …, 2024 - Taylor & Francis
Ridge Estimation (RE) is a widespread method to overcome the problem of collinearity
defining a class of estimators depending on the non-negative scalar parameter k. A great …
defining a class of estimators depending on the non-negative scalar parameter k. A great …
Adoption of a learning management system among educators of advanced technological institutes in Sri Lanka
MI Mohamed Riyath… - Asian Association of Open …, 2022 - emerald.com
Purpose The study investigates the factors that impact the adoption of learning management
systems (LMSs) among educators for effective implementation of open and distance …
systems (LMSs) among educators for effective implementation of open and distance …
Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood
Y Zhou, Z Wu, H Xu, D Yan, M Jiang, X Zhang… - Journal of …, 2023 - Elsevier
The ability to predict urban floods is crucial for reducing potential losses. Previous studies
suggest that a multimodel combination is an effective way to improve the prediction …
suggest that a multimodel combination is an effective way to improve the prediction …
Estimation of COVID-19 epidemic curves using genetic programming algorithm
This paper investigates the possibility of the implementation of Genetic Programming (GP)
algorithm on a publicly available COVID-19 data set, in order to obtain mathematical models …
algorithm on a publicly available COVID-19 data set, in order to obtain mathematical models …
Evaluating the impact of faculty development on employee engagement practices in higher education: Analysing the mediating role of professional development
Purpose The faculties are crucial to education. They should have enough training facilities
and be encouraged to actively contribute to high-quality education and successful learning …
and be encouraged to actively contribute to high-quality education and successful learning …
Workers' opinions on using the internet of things to enhance the performance of the olive oil industry: a machine learning approach
Today's global food supply chains are highly dispersed and complex. The adoption and
effective utilization of information technology are likely to increase the efficiency of …
effective utilization of information technology are likely to increase the efficiency of …
The VIF and MSE in raise regression
The raise regression has been proposed as an alternative to ordinary least squares
estimation when a model presents collinearity. In order to analyze whether the problem has …
estimation when a model presents collinearity. In order to analyze whether the problem has …
[HTML][HTML] The VIF and MSE in raise regression
The raise regression has been proposed as an alternative to ordinary least squares
estimation when a model presents collinearity. In order to analyze whether the problem has …
estimation when a model presents collinearity. In order to analyze whether the problem has …
Machine learning modelling for compressive strength prediction of superplasticizer-based concrete
SA Sadegh-Zadeh, A Dastmard… - Infrastructures, 2023 - mdpi.com
Superplasticizers (SPs), also known as naturally high-water reducers, are substances used
to create high-strength concrete. Due to the system's complexity, predicting concrete's …
to create high-strength concrete. Due to the system's complexity, predicting concrete's …
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 …