Use of post-stratification in composite sampling for estimating mean
Author | Gavanji, P. |
Author | Salehi, M. |
Author | Gore, S.D. |
Author | Khademi, H. |
Author | Ayoubi, S. |
Author | Taghipour, M. |
Available date | 2023-10-02T05:16:13Z |
Publication Date | 2011 |
Publication Name | Environmental and Ecological Statistics |
Resource | Scopus |
ISSN | 13528505 |
Abstract | We show with the results of a study conducted in the Hamadan Province, Iran as to how the use of composite sampling for estimating mean zinc concentration in the soil can help reduce analytical costs by reducing the number of analysis required. We also introduce post-stratification methodology in the composition step to take advantage of possible spatial dispersion. We speculate that the zinc concentration value depends on the sample location, we first stratified the sample set and then composite units from different strata randomly. The results of a simulation study show that the use of this approach not only reduces the total costs but also increases the precision of the estimator. |
Sponsor | Acknowledgments We would like to thank Professor G. P. Patil for his helpful comments and suggestions on an earlier draft and for his allowing us to see the draft manuscript of the monograph on composite sampling Patil et al. (2010). H. Khademi, S. Ayoubi and M. Taghipour greatly acknowledge the financial support for the study from the Isfahan University of Technology. |
Language | en |
Publisher | Springer |
Subject | Composite sampling Heavy metal Post-stratification Zinc |
Type | Article |
Pagination | 535-542 |
Issue Number | 3 |
Volume Number | 18 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Mathematics, Statistics & Physics [722 items ]