EconPapers    
Economics at your fingertips  
 

Multi-Stage, Successive, and Re-Sampling Strategies

Sarjinder Singh
Additional contact information
Sarjinder Singh: St. Cloud State University, Department of Statistics

Chapter 10 in Advanced Sampling Theory with Applications, 2003, pp 829-888 from Springer

Abstract: Abstract The meaning of multi-stage sampling is clear from its name. Here we have several stages for the sample selection. In fact it is an extension of the concept of cluster sampling. Similar to cluster sampling first we divide the population into M clusters or heterogeneous groups. We select m clusters and use the estimates of cluster means or totals to form population estimate. For example, in two-stage sampling we again divide our population into M groups and select a sample of groups, which form the first stage sample. The units so selected are called first stage units (FSU).

Keywords: Unbiased Estimator; Successive Sampling; Stage Unit; Stage Sample Cluster; Jackknife Variance Estimator (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-94-007-0789-4_10

Ordering information: This item can be ordered from
http://www.springer.com/9789400707894

DOI: 10.1007/978-94-007-0789-4_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-22
Handle: RePEc:spr:sprchp:978-94-007-0789-4_10