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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2020, Volume : 8, Issue : 6
First page : (515) Last page : (522)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8487

Improved Linear Regression Using Auxillary Informations

Shabnum Gul*, P.P. Singh and Nisar Ahmad Khan
J.S. University Shikohabad Firozabad (283135) U.P India
*Corresponding Author E-mail: khalidzara2018@gmail.com
Received: 15.11.2020 | Revised: 17.12.2020 | Accepted: 26.12.2020 

 ABSTRACT

The present study was taken under consideration in order to propose improved linear regression using auxiliary information’s of coefficient of regression, coefficient of skewness, coefficient of variation in order to achieve more precision in estimates than the already existing estimators. The properties associated with the proposed estimators are assessed by mean square error and bias and compared with the existing estimators. In the support of the theoretical proposed work we have given numerical illustration.

Keywords: Auxiliary Information, Linear regression, Mean square error, Bias, Efficiency.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Gul, S., Singh, P. P., & Khan, N. A. (2020). Improved Linear Regression Using Auxillary Informations, Ind. J. Pure App. Biosci. 8(6), 515-522. doi: http://dx.doi.org/10.18782/2582-2845.8487