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Browsing by Author "Wijekoon, P."

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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 ...
Comparison between r-d and r-k class estimators in Misspecified linear regression model

Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 08-09-17)

A significance attention has been paid by researchers about misspecification due to excluding some relevant explanatory variables and multicollinearity among the explanatory variables in linear regression model. Several ...
Generalized Stochastic Restricted LARS Algorithm

Kayanan, M.; Wijekoon, P. (Faculty of Science, University of Ruhuna, Sri Lanka, 2022-06-30)

The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model. The Least Angle Regression (LARS) ...
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 ...
Multiclass classification approach to identify the stage of autism spectrum disorder

Kayanan, M.; Wijekoon, P. (Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka, 09-01-20)

Autism Spectrum Disorder (ASD) is known as a neurodevelopmental disorder that affects communication, social interaction and behavioural skills. ASD affects the children at the age of two years old and continues lifelong. ...
Optimal estimators in misspecified linear regression model with an application to real-world data

Kayanan, M.; Wijekoon, P. (Taylor & Francis, 15-04-19)

In this article, we propose the sample information optimal estimator and the stochastic restricted optimal estimator for misspecified linear regression model when multicollinearity exists among explanatory variables. ...
Performance of Existing Biased Estimators and the Respective Predictors in a Misspecified Linear Regression Model

Kayanan, M.; Wijekoon, P. (Scientific Research Publishing, 31-10-17)

In this paper, the performance of existing biased estimators (Ridge Estimator (RE), Almost Unbiased Ridge Estimator (AURE), Liu Estimator (LE), Almost Unbiased Liu Estimator (AULE), Principal Component Regression Estimator ...
Performance of LASSO and Elastic net estimators in Misspecified Linear Regression Model

Kayanan, M.; Wijekoon, P. (Faculty of Science, University of Peradeniya, Sri Lanka, 16-09-19)

Ridge Estimator (RE) 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 heavy bias when the ...
Restricted least angle regression algorithm for lasso

Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 11-10-19)

Least Absolute Shrinkage and Selection Operator (LASSO) method has been used for variable selection in the linear regression model when multicollinearity exists among the predictor variables. A popular algorithm to find ...
Stochastic Restricted Biased Estimators in Misspecified Regression Model with Incomplete Prior Information

Kayanan, M.; Wijekoon, P. (Hindawi, )

The analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multi collinearity exists among the explanatory variables. The Stochastic Restricted Ridge Estimator ...
Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model

Kayanan, M.; Wijekoon, P. (Hindawi, 30-03-20)

Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high-dimensional linear regression models when multicollinearity ...
Variable Selection via Biased Estimators in the Linear Regression Model

Kayanan, M.; Wijekoon, P. (Scientific Research Publishing, 28-02-20)

Least Absolute Shrinkage and Selection Operator (LASSO) is used for variable selection as well as for handling the multicollinearity problem simultaneously in the linear regression model. LASSO produces estimates having ...

Browsing by Author "Wijekoon, P."

Browsing by Author "Wijekoon, P."

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