Estimating the Unrestricted and Restricted Liu Estimators for the Poisson Regression Model: Method and Application

Author:

Månsson Kristofer,Kibria B. M. Golam

Abstract

AbstractThis paper considers both unrestricted and restricted Liu estimators in the presence of multicollinearity for the Poisson regression model. It also considers some new estimators of the shrinkage parameter for both unrestricted and restricted Liu estimators. Based on a simulation study and its empirical application, we found that the restricted estimator outperforms the unrestricted one. Further, the restricted Liu estimator also outperforms both the unrestricted Liu and restricted Liu estimators. Hence, this new method is a preferred option when the coefficient vector β may belong to a linear sub-space defined by Rβ = r.

Funder

Jönköping University

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Reference23 articles.

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3. Alheety, M. I., & Kibria, B. M. G. (2009). On the Liu and almost unbiased Liu estimators in the presence of multicollinearity with heteroscedastic or correlated errors. Surveys in Mathematics and its Applications, 4, 155–167.

4. Asar, Y. (2018). Liu-type negative binomial regression: A comparison of recent estimators and applications. In Tez, M., & Von Rose, D. (Eds.) Trends and Perspectives in Linear Statistical Inference (pp. 23–39). Springer, Cham.

5. Asar, Y., & Genç, A. (2017). A new two-parameter estimator for the poisson regression model. Iranian Journal of Science and Technology, Transactions A: Science, 1–11.

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