A new stochastic mixed ridge estimator in linear regression model

By Yalian Li, Hu Yang. 2010

72 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1827f970dfbdb9ba87f511517bc5beca6821e8c1

How researchers see this paper

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

In Control and Systems Engineering

1. Muhammad Qasim
2. Kristofer Månsson
3. B. G. Golam Kibria

In Statistics and Probability

1. Muhammad Qasim
2. B. G. Golam Kibria
3. Kristofer Månsson
4. Muhammad Amin
5. Muhammad Amanullah
6. Zakariya Yahya Algamal

Citations in the corpus

• On some beta ridge regression estimators: method, simulation and application (2021, methodology): “However, many biased estimators have been introduced to combat multicollinearity in linear regression, such as Stein estimator [4], principal component estimator [5], ridge regression estimator [6], improved ridge estimators [7] contraction estimator [8], modified ridge regression estimator [9], Liu”