A New Two-Parameter Estimator in Linear Regression

By Hu Yang, Xinfeng Chang. 2010

132 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/25a85435d2e7b68c6a4f87bcdd67f1cb3c61c593

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. Issam Dawoud
2. B. M. G. Kibria

In Animal Science and Zoology

1. Issam Dawoud
2. B. M. G. Kibria

In Statistics and Probability

1. Issam Dawoud
2. B. M. G. Kibria
3. Kristofer Månsson
4. Ghazi Shukur
5. Zakariya Yahya Algamal
6. B. G. Golam Kibria
7. Yazid M. Al-Hassan
8. A. V. Dorugade

Citations in the corpus

• Modified ridge‐type estimator to combat multicollinearity: Application to chemical data (2019, unknown): “This is defined as follows: bαLE d ð Þ 1⁄4 Λþ I ð Þ ZZ þ dI bαOLS; 0 < d < 1: (6)”
• A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model (2020, methodology): “To overcome these problems, many authors have introduced different kinds of one- and two-parameter estimators: to mention a few, Stein [2], Massy [3], Hoerl and Kennard [1], Mayer and Willke [4], Swindel [5], Liu [6], Akdeniz and Kaçiranlar [7], Ozkale and Kaçiranlar [8], Sakallıoglu and Kaçıranlar ”