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Communications in Statistics - Theory and Methods Volume 44, 2015 - Issue 16
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Original Articles

Calibrated Estimators of Population Mean for a Mail Survey Design

Lee DykesDepartment of Mathematics, Texas A&M University-Kingsville, Kingsville, Texas, USA
,
Sarjinder SinghDepartment of Mathematics, Texas A&M University-Kingsville, Kingsville, Texas, USACorrespondence[email protected]
,
Stephen A. sedoryDepartment of Mathematics, Texas A&M University-Kingsville, Kingsville, Texas, USA
&
Vincent LouisDepartment of Sociology, University of Vienna, Vienna, Austria
Pages 3403-3427 | Received 07 Jan 2013, Accepted 30 Aug 2013, Published online: 01 Sep 2015

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Ahmed Audu, Ran Vijay Kumar Singh, Olatunji Olawoyin Ishaq, Supriya Khare, Rajesh Singh & Adedayo Amos Adewara. (2024) On the estimation of finite population variance for a mail survey design in the presence of non-response using new conventional and calibrated estimators. Communications in Statistics - Theory and Methods 53:3, pages 848-864.
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Manoj K. Chaudhary, Basant K. Ray, Gautam K. Vishwakarma & Cem Kadilar. A calibration-based approach on estimation of mean of a stratified population in the presence of non response. Communications in Statistics - Theory and Methods 0:0, pages 1-15.
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Articles from other publishers (2)

Philippe Aubry & Matthieu Guillemain. (2019) Attenuating the nonresponse bias in hunting bag surveys: The multiphase sampling strategy. PLOS ONE 14:3, pages e0213670.
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S. Martínez, M. Rueda, H. Martínez & A. Arcos. (2017) Optimal dimension and optimal auxiliary vector to construct calibration estimators of the distribution function. Journal of Computational and Applied Mathematics 318, pages 444-459.
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