EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"principal component regression estimator"
Narrow search

Narrow search

Year of publication
Subject
All
Concomitant variables 1 Liu-type estimator 1 Multicollinearity 1 Principal component regression estimator 1 Ridge estimator 1 multicollinearity 1 ordinary least squares estimator 1 ordinary ridge regression estimator 1 principal component regression estimator 1 r-k class estimator 1 r–k class estimators 1
more ... less ...
Online availability
All
Undetermined 2
Type of publication
All
Article 2
Language
All
Undetermined 2
Author
All
Inagaki, Nobuo 1 Inan, Deniz 1 Jimichi, Masayuki 1
Published in...
All
Annals of the Institute of Statistical Mathematics 1 Statistical Papers / Springer 1
Source
All
RePEc 2
Showing 1 - 2 of 2
Cover Image
Combining the Liu-type estimator and the principal component regression estimator
Inan, Deniz - In: Statistical Papers 56 (2015) 1, pp. 147-156
In this study a new two-parameter estimator which includes the ordinary least squares, the principal components regression (PCR) and the Liu-type estimator is proposed. Conditions for the superiority of this new estimator over the PCR, r–k class estimator and Liu-type estimator are derived....
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011151888
Saved in:
Cover Image
r-k Class estimation in regression model with concomitant variables
Jimichi, Masayuki; Inagaki, Nobuo - In: Annals of the Institute of Statistical Mathematics 48 (1996) 1, pp. 89-95
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005616172
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...