Mean Squared Error Matrix Comparisons of Some Biased Estimators in Linear Regression

By Fikri Akdeniz, Hamza Erol. 2003

145 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/91c50904ba4fce8d6b7c0006b87a8a9f1de72700

How researchers see this paper

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

In Analytical Chemistry

1. Hu Yang
2. Zhen Zhong
3. Xinfeng Chang
4. Yalian Li
5. Issam Dawoud
6. B. M. G. Kibria

In Management Science and Operations Research

1. Hu Yang
2. Zhen Zhong
3. Xinfeng Chang
4. Yalian Li
5. Gülin Tabakan
6. Fikri Akdeniz

In Statistics and Probability

1. Hu Yang
2. Xinfeng Chang
3. Zhen Zhong
4. Yalian Li
5. Gülin Tabakan
6. Fikri Akdeniz
7. Issam Dawoud
8. B. M. G. Kibria

Citations in the corpus

• Ridge Estimation to the Restricted Linear Model (2007, methodology): “To illustrate our theoretical results, we consider the data about Total National Research and Development Expenditures-as a Percent of Gross National Product by Country from 1972–1986, which is cited by Akdeniz and Erol ( 2003 ) and Gruber ( 1998 ) in order to compare some biased estimators (Table ”
• A new Liu-type estimator in linear regression model (2012, background): “Akdeniz and Erol (2003) have compared the almost unbiased generalized ridge estimator with the almost unbiased generalized Liu estimator in the mean squared error matrix (MSEM) sense.”
• A new stochastic mixed ridge estimator in linear regression model (2010, background): “National Research and Development Expenditures as a Percent of Gross Natonal product originally due to Gruber (1998) and later considered by Akdeniz and Erol (2003) .”
• A New Two-Parameter Estimator in Linear Regression (2010, methodology): “Akdeniz and Erol (2003) compared some biased estimators in linear regression in the MSEM sense. By combining the mixed estimator and the Liu estimator, Hubert and Wijekoon (2006) proposed the stochastic restricted Liu estimator, which outperforms Liu estimator and mixed estimator under certain condi”
• Difference-based ridge estimator of parameters in partial linear model (2010, background): “The squared length of the difference-based ridge estimator based on k is going to be smaller than ˆ β � (0) ˆ β(0) ( Akdeniz and Erol 2003 ).”