Akio Namba
Names
| first: | Akio |
| last: | Namba |
Identifer
| RePEc Short-ID: | pna180 |
Contact
Affiliations
-
Kobe University
/ Faculty of Economics
- EDIRC entry
- location:
Research profile
author of:
- Pmse Performance Of The Biased Estimators In A Linear Regression Model When Relevant Regressors Are Omitted (RePEc:cup:etheor:v:18:y:2002:i:05:p:1086-1098_18)
by Namba, Akio - PMSE dominance of the positive-part shrinkage estimator in a regression model when relevant regressors are omitted (RePEc:eee:stapro:v:63:y:2003:i:4:p:375-385)
by Namba, Akio - PMSE performance of the Stein-rule and positive-part Stein-rule estimators in a regression model with or without proxy variables (RePEc:eee:stapro:v:76:y:2006:i:9:p:898-906)
by Namba, Akio & Ohtani, Kazuhiro - MSE Performance of the Weighted Average Estimators Consisting of Shrinkage Estimators (RePEc:koe:wpaper:1513)
by Akio Namba & Kazuhiro Ohtani - Bootstrapping the Stein-Rule Estimators (RePEc:spr:jqecon:v:19:y:2021:i:1:d:10.1007_s40953-021-00269-5)
by Akio Namba - MSE performance of the 2SHI estimator in a regression model with multivariate t error terms (RePEc:spr:stpapr:v:42:y:2001:i:1:p:81-96)
by Akio Namba - On the use of the Stein variance estimator in the double k-class estimator when each individual regression coefficient is estimated (RePEc:spr:stpapr:v:44:y:2003:i:1:p:117-124)
by Akio Namba - Risk comparison of the Stein-rule estimator in a linear regression model with omitted relevant regressors and multivariatet errors under the Pitman nearness criterion (RePEc:spr:stpapr:v:48:y:2007:i:1:p:151-162)
by Akio Namba & Kazuhiro Ohtani - MSE dominance of the positive-part shrinkage estimator when each individual regression coefficient is estimated (RePEc:spr:stpapr:v:56:y:2015:i:2:p:379-390)
by Akio Namba - MSE performance of the weighted average estimators consisting of shrinkage estimators (RePEc:taf:lstaxx:v:47:y:2018:i:5:p:1204-1214)
by Akio Namba & Kazuhiro Ohtani - MSE performance of the weighted average estimators consisting of shrinkage estimators when each individual regression coefficient is estimated (RePEc:taf:lstaxx:v:48:y:2019:i:13:p:3280-3290)
by Haifeng Xu & Akio Namba