Linear combination of estimators in probability proportional to sizes sampling to estimate the population mean and its robustness to optimum value
In this paper we have studied the gain of efficiency and the relative bias of linear weighted estimators over conventional estimators under probability proportional to size with replacement (ppswr) sampling for a wide variety of populations. The five number summary statistics for the relative bias and the relative efficiency over conventional estimators is given for different magnitude of correlation coefficients. The computational study shows that there is a considerable gain in the efficiency of linear weighted estimators over conventional estimators. To develop the confidence of survey practitioners on linear weighted estimator, the computational study is extended to see the robustness of the linear weighted estimator by deviating the optimum value of the weight up to 50% on either side.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 69 (2009)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: Via Belle Arti, 41 - Bologna|
Phone: +39 0 51 209.82.01
Fax: +39 0 51 23.21.53
Web page: http://www.stat.unibo.it/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:bot:rivsta:v:69:y:2009:i:1:p:59-71. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michele Costa)
If references are entirely missing, you can add them using this form.