EconPapers    
Economics at your fingertips  
 

A note on iterative AK composite estimator for Current Population Survey

Yang Cheng, Bo Huang and Zhou Yu

Journal of Nonparametric Statistics, 2017, vol. 29, issue 2, 381-390

Abstract: In this article, we introduce the iterative AK composite estimator for the Current Population Survey. This estimator adopts the AK composite estimator as the initial value and further makes good use of the intrinsic composite scheme of the AK composite estimator. We derive the mean squared error (MSE) formula for the iterative composite estimator and describe how to select the optimal tuning coefficients by minimising the MSE. Finally, we examine the proposed method through a simulation study.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10485252.2017.1303064 (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:taf:gnstxx:v:29:y:2017:i:2:p:381-390

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GNST20

DOI: 10.1080/10485252.2017.1303064

Access Statistics for this article

Journal of Nonparametric Statistics is currently edited by Jun Shao

More articles in Journal of Nonparametric Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:gnstxx:v:29:y:2017:i:2:p:381-390