Search Results - "MULTICOLLINEARITY"

Entropy based solutions for detecting and treating multicollinearity in econometrics.

Authors: Osman, Eyas Gaffar A.¹ (AUTHOR) eyas-gaffar@su.edu.sa

Source: Discover Analytics. 11/25/2025, Vol. 3 Issue 1, p1-17. 17p.

Subject Terms: *ECONOMETRICS, MULTICOLLINEARITY, ENTROPY, RIDGE regression (Statistics), MEAN square algorithms, PRINCIPAL components analysis

A new hybrid estimator for the beta regression model: simulations and applications.

Authors: Dawoud, Issam Eledum, Hussein Nadarajah, Saralees et al.

Source: Communications in Statistics: Simulation & Computation. Nov2025, p1-17. 17p. 1 Illustration.

Subject Terms: *MONTE Carlo method, *REGRESSION analysis, *STATISTICS, MULTICOLLINEARITY, MEAN square algorithms, MAXIMUM likelihood statistics, PARAMETERIZATION

On some new and old shrinkage estimators in ridge regression model.

Authors: Khalid, Nida Muhammad Khan, Dost Suhail, Muhammad et al.

Source: Communications in Statistics: Simulation & Computation. Oct2025, p1-31. 31p. 9 Illustrations.

Subject Terms: *MONTE Carlo method, RIDGE regression (Statistics), MULTICOLLINEARITY, MEAN square algorithms, RESEARCH evaluation

Optimized two-parameter heteroscedastic-adjusted ridge estimators for linear regression model.

Authors: Zaman, Qamruz Wasim, Danish Ismail, Muhammad et al.

Source: Communications in Statistics: Theory & Methods. Nov2025, p1-18. 18p.

Subject Terms: *DATA analysis, *SIMULATION methods & models, *REGRESSION analysis, HETEROSCEDASTICITY, MULTICOLLINEARITY, STATISTICAL models, MEAN square algorithms, RIDGE regression (Statistics)

On some two parameter estimators for the linear regression models with correlated predictors: simulation and application.

Authors: Khan, Muhammad Shakir Ali, Amjad Suhail, Muhammad et al.

Source: Communications in Statistics: Simulation & Computation. 2025, Vol. 54 Issue 10, p3933-3947. 15p.

Subject Terms: *REGRESSION analysis, *ESTIMATION theory, *SIMULATION methods & models, MULTICOLLINEARITY, REGULARIZATION parameter, INDEPENDENT variables, RIDGE regression (Statistics)

New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application.

Authors: Seifollahi, Solmaz Algamal, Zakariya Yahya Arashi, Mohammad

Source: Journal of Applied Statistics. Nov2025, Vol. 52 Issue 14, p2672-2685. 14p.

Subject Terms: *MONTE Carlo method, PROPORTIONAL hazards models, MULTICOLLINEARITY, INDEPENDENT variables, MEAN square algorithms, MAXIMUM likelihood statistics

A new robust ridge estimator for linear regression model with non normal, heteroscedastic and autocorrelated errors.

Authors: Chand, Sohail Shabbir, Maha

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 23, p7651-7667. 17p.

Subject Terms: *MONTE Carlo method, RIDGE regression (Statistics), MULTICOLLINEARITY, MEAN square algorithms, AUTOCORRELATION (Statistics), MEASUREMENT uncertainty (Statistics), HETEROSCEDASTICITY, ADAPTIVE estimation (Statistics)

Heteroscedastic-adjusted standard error based estimation of ridge parameter in the linear regression model.

Authors: Shabbir, Maha Chand, Sohail Dar, Irum Sajjad

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 23, p7412-7426. 15p.

Subject Terms: *SIMULATION methods & models, *REGRESSION analysis, HETEROSCEDASTICITY, MULTICOLLINEARITY, RIDGE regression (Statistics), LEAST squares, MEAN square algorithms, SCIENTIFIC computing

Mitigating multicollinearity and outliers in regression: comparison of some new and old robust ridge M-estimators.

Authors: Wasim, Danish Zaman, Qamruz Ahmad, Mansoor et al.

Source: Journal of Statistical Computation & Simulation. Nov2025, Vol. 95 Issue 16, p3526-3547. 22p.

Subject Terms: *DISTRIBUTION (Probability theory), *MONTE Carlo method, *ANALYSIS of variance, *REGRESSION analysis, MULTICOLLINEARITY, OUTLIERS (Statistics), ROBUST statistics, LEAST squares

Key driver analysis with relative weight analysis: A two-step approach.

Authors: Garver, Michael S. Williams, Zachary

Source: International Journal of Market Research. Nov2024, Vol. 66 Issue 6, p711-728. 18p.

Subject Terms: *CUSTOMER satisfaction, MULTICOLLINEARITY, SOCIAL dominance

The Wald-Type Confidence Interval on the Mean Response Function of the Poisson Inverse Gaussian Ridge Regression

Authors: Qasim, Muhammad Murat Bulut, Y. Månsson, Kristofer

Source: REVSTAT. 23(3):423-440

Subject Terms: confidence interval, Poisson-inverse Gaussian distribution, ridge regression, traffic fatalities, • multicollinearity

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-69643
https://doi.org/10.57805/revstat.v23i3.623

Relations Between Mathematics Self-Efficacy and Anxiety Beliefs: When Multicollinearity Matters

Authors: Bergqvist, Erik

Source: Journal of Experimental Education. 93(3):565-585

Subject Terms: Factor analysis, mathematics anxiety, mathematics self-concept, mathematics self-efficacy, multicollinearity, Mathematics and Science Education, Matematikens och naturvetenskapernas didaktik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105046
https://doi.org/10.1080/00220973.2024.2338545

On Robust and Non-Robust Modified Liu Estimation in Poisson Regression Model with Multicollinearity and Outliers.

Authors: Alghamdi, Fatimah M. Hammad, Ali T. Golam Kibria, B. M. et al.

Source: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems. Sep2025, Vol. 33 Issue 6, p787-823. 37p.

Subject Terms: *MONTE Carlo method, *PARAMETER estimation, POISSON regression, MULTICOLLINEARITY, ROBUST statistics, OUTLIERS (Statistics)

Ridge-penalized Zero-Inflated Probit Bell model for multicollinearity in count data.

Authors: Ali, Essoham Lukman, Adewale F.

Source: Journal of Applied Statistics. Jul2025, p1-26. 26p. 8 Illustrations.

Subject Terms: *PARAMETER estimation, *STATISTICS, *ZERO-inflated probability distribution, MULTICOLLINEARITY, RIDGE regression (Statistics), STATISTICS methodology, STATISTICAL models

Ridge estimation strategies for the simplex regression model with different link functions: simulation and applications.

Authors: Nisa, Aaiza Amin, Muhammad Cheema, Maryam

Source: Communications in Statistics: Simulation & Computation. Jul2025, p1-29. 29p. 28 Illustrations.

Subject Terms: *SIMULATION methods & models, *REGRESSION analysis, *MATHEMATICAL statistics, MULTICOLLINEARITY, RIDGE regression (Statistics), MAXIMUM likelihood statistics, MEAN square algorithms

Scale and correlation in multiscale geographically weighted regression (MGWR).

Authors: Kang, Wei Oshan, Taylor M.

Source: Journal of Geographical Systems. Jul2025, Vol. 27 Issue 3, p399-424. 26p.

Subject Terms: *PARAMETER estimation, *EMPIRICAL research, MULTICOLLINEARITY, MULTISCALE modeling, SPATIAL analysis (Statistics), GEOGRAPHIC spatial analysis, PARAMETERIZATION

A comparative evaluation of the enhanced PLS‐Tree algorithm with multiple latent score vectors.

Authors: Panjwani, Shyam Almazan, Alice Wei, Hao et al.

Source: Journal of Advanced Manufacturing & Processing. Jul2025, Vol. 7 Issue 3, p1-10. 10p.

Subject Terms: *CHEMICAL process industries, *DATA analysis, *FORECASTING, MULTICOLLINEARITY, HETEROGENEITY, PARTIAL least squares regression, MACHINE learning

Relevance-Based Importance: A Comprehensive Measure of Variable Importance in Prediction.

Authors: Czasonis, Megan Kritzman, Mark Turkington, David

Source: Journal of Portfolio Management. Aug2025, Vol. 51 Issue 9, p17-36. 20p.

Subject Terms: *REGRESSION analysis, *STATISTICAL reliability, *STATISTICAL correlation, *FORECASTING, MULTICOLLINEARITY

Selection of tuning parameter based upon adjusted coefficient of determination and generalized cross validation.

Authors: Goyal, Pragya Tiwari, Manoj K. Bist, Vikas et al.

Source: Communications in Statistics: Theory & Methods. Aug2025, p1-12. 12p. 1 Illustration.

Subject Terms: *REGRESSION analysis, *MATHEMATICAL optimization, *MONTE Carlo method, *ESTIMATION bias, MULTICOLLINEARITY, MODEL validation, STATISTICAL measurement, NUMERICAL analysis

Improved ridge regression estimators for multicollinearity and heteroscedasticity: A simulation and real-world study.

Authors: Mashal Asim, Syed Muhammad Suhail, Muhammad

Source: Communications in Statistics: Theory & Methods. Aug2025, p1-21. 21p. 8 Illustrations.

Subject Terms: *SIMULATION methods & models, *ESTIMATION theory, *EMPIRICAL research, RIDGE regression (Statistics), MULTICOLLINEARITY, HETEROSCEDASTICITY, MEAN square algorithms, LIVESTOCK farms