The Class of Estimators of Finite Population Mean Using Incomplete Multi-Auxiliary Information

• Authors: Srivastava Meenakshi , Garg Neha
• Languages of publication: EN

Abstracts

EN

In this paper, a class of estimators is considered for estimating the mean of the finite population utilizing available incomplete multi-auxiliary information. Some special cases of this class of estimators are considered. The approximate expressions for bias and mean square error of the suggested estimators have also been derived and theoretical results are numerically supported.

Keywords

EN

bias; mean square error; multi-auxiliary information

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2013
• Volume: 14
• Issue: 2
• Pages: 201-216

Contributors

author

Srivastava Meenakshi

• Dr. B. R. Ambedkar University

author

Garg Neha

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