Author : A. audu, o. o. ishaq, j. o. muili, a. abubakar, a. rashida, k. a. akintola, u. isah
Keyword : Estimators, auxiliary variables, multiple regression, outliers, efficiency.
Subject : Mathematics
Article Type : Original article (research)
DOI : 10.37933/nipes/2.4.2020.2
Article File : Full Text PDF
Abstract : Efficiency of estimators can be improved by using the information of multi-auxiliary variables associated to the study variable [1]. [2] and [3] suggested robust estimators with single auxiliary variable which are not applicable to situation when study variable is associated with independent multi-auxiliary variables. In this paper, finite population mean modified estimator with independent multi-auxiliary variables has been proposed. The mean squared error (MSE) of the proposed estimator was derived up to second degree approximation. The empirical study was conducted and the results revealed that proposed estimators were more efficient.
Article by : Dr Ahmed Audu
Article add date : 2020-12-07
How to cite : A. audu, o. o. ishaq, j. o. muili, a. abubakar, a. rashida, k. a. akintola, u. isah. (2020-December-07). Modified estimators of population mean using robust multiple regression methods. retrieved from https://openacessjournal.com/abstract/393