NEWLY PROPOSED ESTIMATOR FOR RIDGE PARAMETER: AN APPLICATION TO THE NIGERIAN ECONOMY

Lukman, A. F. and Olatunji, A. (2018) NEWLY PROPOSED ESTIMATOR FOR RIDGE PARAMETER: AN APPLICATION TO THE NIGERIAN ECONOMY. Pakistan Journal of Statistics, 34 (2). pp. 91-98.

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Abstract

Different methodshave been adopted in the estimation of ridge parameter in ordinary ridge regression estimator. In this study new ridge parameter was introduced and evaluated via simulation study and application to real life data. The proposed parameteris a function of the standard error of regression and independent of the regression coefficients. Results show that the proposed estimators when applied to ridge regression estimator haveminimummean square error (MSE) as compared to other estimators of ridge parameter and the conventional ordinary least square (OLS) estimator.

Item Type: Article
Subjects: Q Science > QA Mathematics
Depositing User: Mr DIGITAL CONTENT CREATOR LMU
Date Deposited: 07 May 2019 11:59
Last Modified: 07 May 2019 11:59
URI: https://eprints.lmu.edu.ng/id/eprint/2149

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