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 |
|---|---|
| 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 |
Keywords
- Auxiliary Information
- Finite Population
- Two-Stage Sampling
ASJC Scopus subject areas
- Management Information Systems
- Industrial and Manufacturing Engineering
Fingerprint Dive into the research topics of 'A class of predictive estimators in two-stage sampling using auxiliary information'. Together they form a unique fingerprint.
Cite this
Hossain, M. I., & Ahmed, M. S. (2001). A class of predictive estimators in two-stage sampling using auxiliary information. International Journal of Information and Management Sciences, 12(1), 49-55.