ON THE LIU AND ALMOST UNBIASED LIU ESTIMATORS IN THE PRESENCE OF MULTICOLLINEARITY WITH HETEROSCEDASTIC OR CORRELATED ERRORS

By Mustafa I. Alheety, B. M. G. Kibria. 2009

78 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/16e7cae6d8a199e4172bb3e45f8b0c2a147bb662

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Muhammad Qasim
2. Muhammad Amanullah
3. Muhammad Amin

Citations in the corpus

• On Liu Estimators for the Logit Regression Model (2012, background): “Among them Akdeneiz and Kaciranlar (1995), Kaciranlar (2003) and Alheety and Kibria (2009) and very recently Kibria (2011) are notable.”
• Developing a Liu estimator for the negative binomial regression model: method and application (2013, methodology): “These methods of estimating d are based on the work for linear ridge regression by Hoerl and Kennard [3,4], Kibria [5] and Khalaf and Shukur[6].”
• On the performance of some new Liu parameters for the gamma regression model (2018, methodology): “For colossal literature on the Liu estimator, we refer to Liu [14], Kaciranlar [16], Alheety and Kibria [17], Kibria [18] and Kurtoğlu and Özkale [2], among others.”