Economics at your fingertips  

Estimation of Mean on the Basis of Conditional Simple Random Sample

Janusz L. Wywiał ()

Statistics in Transition new series, 2016, vol. 17, issue 3, 411-428

Abstract: Estimation of the population mean in a finite and fixed population on the basis of the conditional simple random sampling design dependent on order statistics (quantiles) of an auxiliary variable is considered. Properties of the well-known Horvitz-Thompson and ratio type estimators as well as the sample mean are taken into account under the conditional simple random sampling designs. The considered examples of empirical analysis lead to the conclusion that under some additional conditions the proposed estimation strategies based on the conditional simple random sample are usually more accurate than the mean from the simple random sample drawn without replacement.

Keywords: conditional sampling design; order statistic; concomitant; sample quantile; auxiliary variable; Horvitz-Thompson statistic; inclusion probabilities; sampling scheme; ratio estimator (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Statistics in Transition new series is currently edited by Włodzimierz Okrasa

More articles in Statistics in Transition new series from Główny Urząd Statystyczny (Polska) Contact information at EDIRC.
Bibliographic data for series maintained by Beata Witek ().

Page updated 2023-04-12
Handle: RePEc:csb:stintr:v:17:y:2016:i:3:p:411-428