Empirical saddlepoint approximations of the Studentized mean under stratified random sampling
Zhishui Hu,
Chunsheng Ma and
John Robinson
Statistics & Probability Letters, 2008, vol. 78, issue 4, 396-401
Abstract:
We obtain a saddlepoint approximation for the Studentized mean under stratified random sampling. This is of theoretical interest only, since its calculation requires knowledge of the entire population. We also obtain an empirical saddlepoint approximation based on the stratified sample alone. This empirical approximation can be used for tests of significance and confidence intervals for the population mean and can be regarded as a saddlepoint approximation to a bootstrap approximation. We compare the empirical approximation to the true saddlepoint approximation, both theoretically, to obtain results on the relative error of the bootstrap, and numerically, using Monte Carlo methods to compare the true and bootstrap distributions with the saddlepoint approximations.
Keywords: Sampling; without; replacement; Survey; sampling; Bootstrap; Saddlepoint; approximation; Empirical; saddlepoint; approximation (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(07)00253-2
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:78:y:2008:i:4:p:396-401
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
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 ().