References

  1. Ahmed, S.E. and Saleh, A.K.M.E. (1988). Estimation strategy using a preliminary test in some univariate normal models. Soochow Journal of Mathematics 14: 135–165.
  2. Ahsanullah, M. and Saleh, A.K.M.E. (1972). Estimation of intercept in a linear regression model with one dependent variable after a preliminary test on the regression coefficient. International Statistical Review 40: 139–145.
  3. Akdeniz, F. and Ozturk, F. (1981). The effect of multicollinearity: a geometric view. Communications de la Faculte des Sciences de l'Universite d'Ankara 30: 17–26.
  4. Akdeniz, F. and Tabakan, G. (2009). Restricted ridge estimators of the parameters in semiparametric regression model. Communications in Statistics ‐ Theory and Methods 38 (11): 1852–1869.
  5. Alkhamisi, M. and Shukur, G. (2008). Developing ridge parameters for SUR model. Communications in Statistics ‐ Theory and Methods 37 (4): 544–564.
  6. Anderson, T.W. (1984). An Introduction to Multivariate Statistical Analysis. New York: Wiley.
  7. Arashi, M. (2012). Preliminary test and Stein estimators in simultaneous linear equations. Linear Algebra and its Applications 436 (5): 1195–1211.
  8. Arashi. M. and Norouzirad, M. (2016). Steinian shrinkage estimation in high dimensional regression. In: 13th Iranian Statistics Conference. Kerman, Iran: Shahid Bahonar University of Kerman.
  9. Arashi, M. and Roozbeh, M. (2016). Some improved estimation strategies in high‐dimensional semiparametric regression models with application to the Riboflavin production ...

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