Modified ratio cum regression estimators using conventional and non-conventional parameters
Author(s): Omiya, S Maqbool, M Iqbal Jeelani, MS Pukhta, Abid Sultan, Farhat Shaheen and TA Raja
Abstract: In this paper we propose some modified ratio cum regression estimators using conventional and non-conventional parameters. We study the sampling properties of the proposed class of estimators up to approximation of order one using Taylors series expansion. We compare the suggested class of estimators with the competing class of estimators. The conditions of efficiencies are verified using numerical data. We use numerical illustration to support these theoretical results, thus enriching the sampling theory by the development of new estimators.
Omiya, S Maqbool, M Iqbal Jeelani, MS Pukhta, Abid Sultan, Farhat Shaheen, TA Raja. Modified ratio cum regression estimators using conventional and non-conventional parameters. Int J Stat Appl Math 2024;9(5):214-219. DOI: 10.22271/maths.2024.v9.i5c.1863
