A class of estimators of population mean using auxiliary information in the presence of non-response

Issue title: Statistical Inference with Missing Data

Guest editors: Ma del Mar Rueda

Article type: Research Article

Authors: Dubey, Vyas^{; *} | Uprety, Minal

Affiliations: Pt. Ravishankar Shukla University, Raipur (C.G.), India

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: The paper deals with a new class of estimators of population mean under general sampling design whenever the problem of non-response exists in practice. Properties of the proposed class of estimators have been studied and an optimum class of estimators has been obtained. It is seen that the proposed class of estimators includes better estimators than usual regression type estimators. To support mathematical findings, numerical example is cited.

Keywords: Auxiliary information, non-response, bias, mean square error, relative efficiency, simple random sampling without replacement (SRSWOR)

DOI: 10.3233/MAS-2008-3205

Journal: Model Assisted Statistics and Applications, vol. 3, no. 2, pp. 119-125, 2008