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An information-theoretic approach to effective inference for Z-functionals.
- Source :
- Acta Mathematica Sinica; Nov2009, Vol. 25 Issue 11, p1893-1906, 14p, 1 Chart
- Publication Year :
- 2009
-
Abstract
- In this paper, through an information-theoretic approach, we construct estimations and confidence intervals of Z-functionals involving finite population and with the presence of auxiliary information. In particular, we give a method of estimating the variance of finite population with known mean. The modified estimates and confidence intervals for Z-functionals can adequately use the auxiliary information, at least not worse than what the standard ones do. A simulation study is presented to assess the performance of the modified estimates for the finite sample case. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14398516
- Volume :
- 25
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Acta Mathematica Sinica
- Publication Type :
- Academic Journal
- Accession number :
- 45235587
- Full Text :
- https://doi.org/10.1007/s10114-009-6571-7