Abstract
This paper presents a class of predictive estimator for a two-stage sampling with unequal first stage units using auxiliary information. The proposed class consists of mainly three different types of estimators namely, Ratio, Regression and Product estimator. The mean square error (MSE) and minimum mean square error of this class have also been derived in this paper.
Original language | English |
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Pages (from-to) | 49-55 |
Number of pages | 7 |
Journal | International Journal of Information and Management Sciences |
Volume | 12 |
Issue number | 1 |
Publication status | Published - Mar 2001 |
Externally published | Yes |
Keywords
- Auxiliary Information
- Finite Population
- Two-Stage Sampling
ASJC Scopus subject areas
- Control and Systems Engineering
- Management Information Systems
- Strategy and Management
- Industrial and Manufacturing Engineering
- Information Systems and Management