Estimation of error variance in linear regression models with errors having multivariate student-t distribution with unknown degrees of freedom
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- repec:gam:jecnmx:v:4:y:2016:i:2:p:25:d:69492 is not listed on IDEAS
- Arashi, M. & Kibria, B.M. Golam & Norouzirad, M. & Nadarajah, S., 2014. "Improved preliminary test and Stein-rule Liu estimators for the ill-conditioned elliptical linear regression model," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 53-74.
- M. Arashi & B. Kibria & A. Tajadod, 2015. "On shrinkage estimators in matrix variate elliptical models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 78(1), pages 29-44, January.
- Wang, Song-Gui & Ip, Wai-Cheung, 2003. "Inconsistency of estimate of the degree of freedom of multivariate student-t disturbances in linear regression models," Economics Letters, Elsevier, vol. 80(3), pages 383-389, September.
- Marc S. Paolella, 2016. "Stable-GARCH Models for Financial Returns: Fast Estimation and Tests for Stability," Econometrics, MDPI, Open Access Journal, vol. 4(2), pages 1-28, May.
- Akio Namba & Kazuhiro Ohtani, 2007. "Risk comparison of the Stein-rule estimator in a linear regression model with omitted relevant regressors and multivariatet errors under the Pitman nearness criterion," Statistical Papers, Springer, vol. 48(1), pages 151-162, January.
- Akio Namba, 2001. "MSE performance of the 2SHI estimator in a regression model with multivariate t error terms," Statistical Papers, Springer, vol. 42(1), pages 81-96, January.
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