On Conditional Simple Random Sample
Janusz L. Wywiał ()
Statistics in Transition new series, 2014, vol. 15, issue 4, 525-534
Abstract:
Estimation of the population average in a finite and fixed population on the basis of the conditional simple random sampling design dependent on order statistics of the auxiliary variable is studied. The sampling scheme implementing the sampling design is proposed. The inclusion probabilities are derived. The well known Horvitz-Thompson statistic under the conditional simple random sampling designs is considered as the estimator of population mean. Moreover, it was shown that the Horvitz-Thompson estimator under some particular cases of the conditional simple random sampling design is more accurate than the ordinary mean from the simple random sample.
Keywords: simple random sample; conditional sampling design; sampling scheme; inclusion probabilities; auxiliary variable; order statistics (search for similar items in EconPapers)
JEL-codes: C83 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v15_2014_i4_n2.pdf Main text (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: https://EconPapers.repec.org/RePEc:csb:stintr:v:15:y:2014:i:4:p:525-534
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 ( this e-mail address is bad, please contact ).