EconPapers    
Economics at your fingertips  
 

An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz–Thompson criterion in complex designs

Lorenzo Fattorini ()

Computational Statistics, 2009, vol. 24, issue 4, 623-639

Keywords: Complex sampling schemes; Horvitz-Thomson estimation; Replications; Empirical inclusion probabilities; Bennet inequality (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00180-009-0149-9 (text/html)
Access to full text is restricted to subscribers.

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:spr:compst:v:24:y:2009:i:4:p:623-639

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-009-0149-9

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:compst:v:24:y:2009:i:4:p:623-639