On Construction of Modified Class of Estimators for Population Variance using Auxiliary Attribute
Chandni Kumari1, Ratan Kumar Thakur2
1Chandni Kumari*, Department of Statistics, Babasaheb Bhimrao Ambedkar University, Lucknow (U.P), India.
2Ratan Kumar Thakur, Department of Statistics, Babasaheb Bhimrao Ambedkar University, Lucknow (U.P), India.
Manuscript received on April 29, 2020. | Revised Manuscript received on May 19, 2020. | Manuscript published on May 30, 2020. | PP: 109-119 | Volume-4, Issue-9, May 2020. | Retrieval Number: I0878054920/2020©BEIESP | DOI: 10.35940/ijmh.I0878.054920
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Population Variance Estimators in The Sense of Mean Squared Error