Linear Models and Generalizations: Least Squares and Alternatives

A Compact and Accurate Model for Classification

IEEE Transactions on Knowledge and Data Engineering

Evaluation relaxation using substructural information and linear estimation

Proceedings of the 8th annual conference on Genetic and evolutionary computation

Use of prior information in the consistent estimation of regression coefficients in measurement error models

Journal of Multivariate Analysis

Stochastic MV-PURE estimator: robust reduced-rank estimator for stochastic linear model

IEEE Transactions on Signal Processing

Efficiency of a Liu-type estimator in semiparametric regression models

Journal of Computational and Applied Mathematics

Restricted estimation in multivariate measurement error regression model

Journal of Multivariate Analysis

Using stochastic prior information in consistent estimation of regression coefficients in replicated measurement error model

Journal of Multivariate Analysis

A revisit to efficient forecasting in linear regression models

Journal of Multivariate Analysis

On extension of some identities for the bias and risk functions in elliptically contoured distributions

Journal of Multivariate Analysis

PLS-based recursive feature elimination for high-dimensional small sample

Knowledge-Based Systems