[HTML][HTML] Combating outliers and multicollinearity in linear regression model using robust Kibria-Lukman mixed with principal component estimator, simulation and …
Scholars usually adopt the method of least squared to model the relationship between a
response variable and two or more explanatory variables. Ordinary least squares estimator's …
response variable and two or more explanatory variables. Ordinary least squares estimator's …
[HTML][HTML] Urinary neonicotinoids and metabolites are associated with obesity risk in Chinese school children
Z Yang, Y Wang, C Tang, M Han, Y Wang, K Zhao… - Environment …, 2024 - Elsevier
Background Neonicotinoids are the most widely used insecticides. Laboratory studies have
suggested that neonicotinoids are one potential obesogen, but relevant data are limited in …
suggested that neonicotinoids are one potential obesogen, but relevant data are limited in …
Factors influencing residential water consumption in Wallonia, Belgium
Studies on residential water determinants often considered a limited number of possible
factors due to lacking data, especially at micro-levels. This study aims to address the …
factors due to lacking data, especially at micro-levels. This study aims to address the …
Robust biased estimators for Poisson regression model: simulation and applications
The method of maximum likelihood flops when there is linear dependency (multicollinearity)
and outlier in the generalized linear models. In this study, we combined the ridge estimator …
and outlier in the generalized linear models. In this study, we combined the ridge estimator …
Robust-stein estimator for overcoming outliers and multicollinearity
Linear regression models with correlated regressors can negatively impact the performance
of ordinary least squares estimators. The Stein and ridge estimators have been proposed as …
of ordinary least squares estimators. The Stein and ridge estimators have been proposed as …
Modeling and robust prediction of high heating values of municipal solid waste based on ultimate analysis
The heating/calorific value of municipal solid waste (MSW) is essential in selecting or
designing the appropriate waste to energy (WTE) systems. Experimental evaluation of the …
designing the appropriate waste to energy (WTE) systems. Experimental evaluation of the …
Jackknife Kibria-Lukman M-estimator: Simulation and application
The ordinary least square (OLS) method is very efficient in estimating the regression
parameters in a linear regression model under classical assumptions. If the model contains …
parameters in a linear regression model under classical assumptions. If the model contains …
Combining principal component and robust ridge estimators in linear regression model with multicollinearity and outlier
KC Arum, FI Ugwuowo - Concurrency and Computation …, 2022 - Wiley Online Library
The method of least squared suffers a setback when there is multicollinearity and outliers in
the linear regression model. In this article, we developed a new estimator to jointly handle …
the linear regression model. In this article, we developed a new estimator to jointly handle …
Do country-specific preference weights matter in the choice of mapping algorithms? The case of mapping the Diabetes-39 onto eight country-specific EQ-5D-5L value …
Purpose To develop mapping algorithms that transform Diabetes-39 (D-39) scores onto EQ-
5D-5L utility values for each of eight recently published country-specific EQ-5D-5L value …
5D-5L utility values for each of eight recently published country-specific EQ-5D-5L value …
Dispersal limitation shapes distance‐decay patterns of European spiders at the continental scale
R Martín‐Devasa, A Jiménez‐Valverde… - Global Ecology and …, 2024 - Wiley Online Library
Aim To assess the relative relevance of dispersal limitation and species sorting as drivers of
spatial turnover between spider faunas of European territories. Location Continental Europe …
spatial turnover between spider faunas of European territories. Location Continental Europe …