EconPapers    
Economics at your fingertips  
 

MSE dominance of the pre-test iterative variance estimator over the iterative variance estimator in regression

Kazuhiro Ohtani

Statistics & Probability Letters, 2001, vol. 54, issue 3, 331-340

Abstract: In this paper, we examine the small sample properties of the pre-test iterative variance estimator in regression. The explicit formula of MSE is derived, and it is shown that the pre-test iterative variance estimator with an appropriate critical value dominates the iterative variance estimator without pre-testing in terms of MSE. We also compare the MSE performances of the pre-test iterative variance estimators using the Stein-rule, minimum mean squared error, and adjusted minimum mean squared error estimators by numerical evaluations.

Keywords: Iterative; variance; estimator; Mean; squared; error; Pre-test; Regression; error; variance (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(01)00131-6
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:54:y:2001:i:3:p:331-340

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:54:y:2001:i:3:p:331-340