- Author
- Srivastava Meenakshi (Ambedkar University), Neha Garg (Indira Gandhi National Open University)
- Title
- The Class of Estimators of Finite Population Mean Using Incomplete Multi-Auxiliary Information
- Source
- Statistics in Transition, 2013, vol. 14, nr 2, s. 201-216, rys., tab., bibliogr. 19 poz.
- Keyword
- Badania reprezentacyjne, Estymacja, Estymatory
Sampling survey, Estimation, Estimators - Note
- summ.
- Abstract
- 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. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of the Wroclaw University of Economics - Full text
- Show
- Bibliography
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- Cited by
- ISSN
- 1234-7655
- Language
- eng