A Note on Kumar (2016): Improved Estimation of Population Mean in the Presence of Measurement Error and Non-response

被引：0

作者：

Shaista Sabir

Aamir Sanaullah

机构：

[1] COMSATS University Islamabad,Department of Statistics

[2] Lahore Campus,undefined

来源：

Journal of Statistical Theory and Practice | 2019年 / 13卷

关键词：

Measurement error; Non-response; Auxiliary variable; Ratio estimator; Exponential estimator; Regression estimator;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Kumar (J Stat Theory Pract 10(4):707–720, 2016) introduced an estimator for mean in the presence of non-response and measurement error. However, the mean square error (MSE) and the minimum MSE expressions presented in that paper need some corrections and simulation results need to be examined in the light of this correction. Simulations results show that with the corrected MSE expression, the Kumar estimator performs better than some of existing estimators, which could not be claimed with the original MSE expressions.

引用

共 5 条

[1]

Azeem M(2017)Joint influence of measurement error and non response on estimation of population mean Commun Stat Theory Methods 46 1679-1693

[2]

Hanif M(1946)The problem of non-response in sample surveys J Am Stat Assoc 41 517-529

[3]

Hanen MH(2016)Improved estimation of population mean in presence of non-response and measurement error J Stat Theory Pract 10 707-720

[4]

Hurwitz WN(undefined)undefined undefined undefined undefined-undefined

[5]

Kumar S(undefined)undefined undefined undefined undefined-undefined

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