Exact optimal sample allocation: More efficient than Neyman

Tommy Wright

Statistics & Probability Letters, 2017, vol. 129, issue C, 50-57

Abstract: Neyman allocation (1) rarely yields integer solutions; (2) does not guarantee minimum sampling variance after rounding; and (3) can result in a stratum sample size that exceeds the overall stratum size. Using a simple decomposition, our exact optimal algorithms completely prevent these problems.

Keywords: Mixed and precision constraints; Exact optimal allocation; Neyman allocation; Stratification; Sampling variance decomposition (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715217301657
Full text for ScienceDirect subscribers only

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:eee:stapro:v:129:y:2017:i:c:p:50-57

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2017.04.026

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().