Browsing by Subject "Multicollinearity"

Browsing by Subject "Multicollinearity"

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  • Combining Lasso and Liu type estimator in the linear regression model 
    Kayanan, M.; Wijekoon, P. (International Statistical Institute, 21-08-19)
    The Ordinary Least Square Estimator (OLSE) has been widely used to estimate unknown parameters in the linear regression model. Since OLSE produces high variance on the estimates when multicollinearity exists among the ...
  • Conparison of the Predictive Performance of LIU-Based Estimators 
    Kayathiri, T.; Kayanan, M.; Wijekoon, P. (PGIS, University of Peradeniya, 2023-11-03)
    "Logistic regression is one of the most widely used statistical methods for predicting a binary outcome by analysing the relationship between one or more existing independent variables. Although the maximum likelihood ...
  • Mean square error comparison between ridge and lasso estimators in the Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 09-11-18)
    It is well-known that the Ridge Estimator has been used as an alternative estimator for Ordinary Least Squared Estimator (OLSE) to handle multicollinearity problem in the linear regression model. However, it introduces ...
  • Modified Stochastic Restricted Ridge Estimator in Misspecified Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Institute of Applied Statistics, Sri Lanka, 28-12-18)
    Misspecification of the linear model due to omitting relevant explanatory variable from the model and multicollinearity among the explanatory variables are considered as two of the problems which are considered seriously ...
  • A new stochastic restricted two-parameter estimator in multiple linear regression model 
    Arumairajan, S.; Kayathiri, S. (Faculty of Applied Science, University of Vavuniya, Sri Lanka, 31-08-22)
    In this paper, we proposed a biased estimator, a new stochastic restricted two-parameter estimator (NSRTPE), for the multiple linear regression model to tackle the multicollinearity problem when the stochastic restrictions ...
  • On the development of the adjusted multinomial logistic Liu estimator 
    Kayathiri, T.; Kayanan, M.; Wijekoon, P. (Uva Wellassa University, Badulla, Sri Lanka, 2026)
    The multinomial logistic regression (MNLR) model is a widely used statistical tool for predicting categorical response variables with more than two outcomes, based on multiple predictor variables. It finds applications ...
  • Performance of Modified Logistic Regression Algorithm in Classification 
    Tharsika, I.; Kayanan, M.; Yogarajah, B. (Eastern University, Sri Lanka, 2025)
    Logistic regression, a fundamental tool in binary classification tasks, faces challenges in real-world datasets where the assumption of predictor variable independence is often violated, leading to multicollinearity issues. ...
  • Stochastic Restricted Modified Mixed Logistic Estimator 
    Kayathiri, T.; Kayanan, M.; Wijekoon, P. (Austrian Statistical Society, 2025-05-28)
    In this study, we introduce a new estimator named the Stochastic Restricted Modified Mixed Logistic Estimator (SRMMLE), which is specifically designed to handle multicollinearity within the framework of stochastic linear ...
  • A study on household buffalo curd consumption pattern in the dry and intermediate zone in Sri Lanka 
    Kaushalya, A.J.P.G.; Neelawala, S.N.S.L.H.P.; Mudannayake, D.C. (Faculty of Applied Science, University of Vavuniya., 2022-11-03)
    Buffalo curd is a rich source of nutrients and antioxidants. Therefore, the majority of people prefer buffalo curd amidst low availability. A survey was conducted in Hambantota, Monaragala and Anuradhapura districts to ...