Open AccessOn Construction of Modified Class of Estimators for Population Variance using Auxiliary Attribute
Author(s) -
Chandni Kumari,
Ratan Kumar Thakur
Publication year - 2020
Publication title -
international journal of management and humanities
Language(s) - English
Resource type - Journals
ISSN - 2394-0913
DOI - 10.35940/ijmh.i0878.054920
Subject(s) - estimator , variance (accounting) , mathematics , population variance , efficiency , statistics , population , class (philosophy) , econometrics , computer science , artificial intelligence , demography , economics , accounting , sociology
In this paper, an improved estimator for population variance has been proposed to improvise the log-type estimators proposed by Kumari et al. (2019). The properties of proposed estimators are derived up to the first order of approximation. The proposed estimatorfound to be betterthan the existing estimatorsin the sense of mean squraed error and percent relative efficiency. A numerical study is included to support the use of the suggested classes of estimators.