3 citations · 5 across the 5 of their papers we have counts for
5 papers
Improved LARS algorithm for adaptive LASSO in the linear regression model
Manickavasagar Kayanan, Pushpakanthie Wijekoon
The adaptive LASSO has been used for consistent variable selection in place of LASSO in the linear regression model. In this article, we propose a modified LARS algorithm to combin…
Poisson-modification of the Quasi Lindley distribution and its zero modification for over-dispersed count data
Ramajeyam Tharshan, Pushpakanthie Wijekoon
In this paper, an alternative mixed Poisson distribution is proposed by amalgamating Poisson distribution and a modification of the Quasi Lindley distribution. Some fundamental str…
Optimal estimators in misspecified linear regression model with an application to real-world data
Manickavasagar Kayanan, Pushpakanthie Wijekoon
In this article, we propose the Sample Information Optimal Estimator (SIOE) and the Stochastic Restricted Optimal Estimator (SROE) for misspecified linear regression model when mul…
Stochastic Restricted Biased Estimators in misspecified regression model with incomplete prior information
Manickavasagar Kayanan, Pushpakanthie Wijekoon
In this article, the analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multicollinearity exists among the explanator…
More on the restricted almost unbiased Liu-estimator in Logistic regression
Nagarajah Varathan, Pushpakanthie Wijekoon
To address the problem of multicollinearity in the logistic regression model, in this paper we propose a new estimator called Stochastic restricted almost unbiased logistic Liu-est…