Show simple item record

AuthorGavanji, P.
AuthorSalehi, M.
AuthorGore, S.D.
AuthorKhademi, H.
AuthorAyoubi, S.
AuthorTaghipour, M.
Available date2023-10-02T05:16:13Z
Publication Date2011
Publication NameEnvironmental and Ecological Statistics
ResourceScopus
ISSN13528505
URIhttp://dx.doi.org/10.1007/s10651-010-0150-z
URIhttp://hdl.handle.net/10576/48161
AbstractWe 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.
SponsorAcknowledgments 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.
Languageen
PublisherSpringer
SubjectComposite sampling
Heavy metal
Post-stratification
Zinc
TitleUse of post-stratification in composite sampling for estimating mean
TypeArticle
Pagination535-542
Issue Number3
Volume Number18
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record