EconPapers    
Economics at your fingertips  
 

Ridge-type pretest and shrinkage estimations in partially linear models

Bahadır Yüzbaşı (), S. Ejaz Ahmed and Dursun Aydın
Additional contact information
Bahadır Yüzbaşı: Inonu University
S. Ejaz Ahmed: Brock University
Dursun Aydın: Mugla Sitki Kocman University

Statistical Papers, 2020, vol. 61, issue 2, No 16, 869-898

Abstract: Abstract In this paper, we suggest pretest and shrinkage ridge regression estimators for a partially linear regression model, and compare their performance with some penalty estimators. We investigate the asymptotic properties of proposed estimators. We also consider a Monte Carlo simulation comparison, and a real data example is presented to illustrate the usefulness of the suggested methods.

Keywords: Pretest estimation; Shrinkage estimation; Ridge regression; Smoothing spline; Partially linear model (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00362-017-0967-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:stpapr:v:61:y:2020:i:2:d:10.1007_s00362-017-0967-8

Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362

DOI: 10.1007/s00362-017-0967-8

Access Statistics for this article

Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller

More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:stpapr:v:61:y:2020:i:2:d:10.1007_s00362-017-0967-8