The mixture properties of the 2SHI estimators in linear regression models
The paper derives the family of double k-class estimators (Ullah and Ullah, 1978) as a subset of the mixture-type two-stage hierarchial-information (2SHI) estimators (Tran Van Hoa, 1985) in the general linear regression model, and provides a formal justification for the double k-class estimators in terms of additional data-based informational content. Small-sample properties derived from a simulation study of the 2SHI estimators in relation to their subsets in the positive-part parameter space are also presented.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 16 (1993)
Issue (Month): 2 (January)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:16:y:1993:i:2:p:111-115. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If references are entirely missing, you can add them using this form.