In modern day industry, clustering algorithms are daily routines of algorithm engineers.
Although clustering algorithms experienced rapid growth before 2010, innovation related to …

It is a fact that the problem of multicollinearity adversely effects the estimation of parameters
not only in normal linear models but also in generalized linear models (GLMs). In this study …

This paper considers and proposes new estimators that depend on the sample and on prior
information in the case that they either are equally or are not equally important in the model …

In modern day industry, clustering algorithms are daily routines of algorithm engineers.
Although clustering algorithms experienced rapid growth before 2010. Innovation related to …

To overcome multicollinearity, a new stochastic mixed Liu estimator is presented and its
efficiency is considered. We also compare the proposed estimators in the sense of matrix …

This article concentrated on the diagnostics measures to identify outlier observations using
the restricted Liu estimator (RLE) of the vector of parameters in linear measurement error …

This paper deals with the estimation of parameters for linear regression model with
stochastic linear restrictions, when model suffers from multicollinearity as well as …