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The exact general formulae for the moments and the MSE dominance of the Stein-rule and positive-part Stein-rule estimators

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  • Ohtani, Kazuhiro
  • Kozumi, Hideo

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  • Ohtani, Kazuhiro & Kozumi, Hideo, 1996. "The exact general formulae for the moments and the MSE dominance of the Stein-rule and positive-part Stein-rule estimators," Journal of Econometrics, Elsevier, vol. 74(2), pages 273-287, October.
  • Handle: RePEc:eee:econom:v:74:y:1996:i:2:p:273-287
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    References listed on IDEAS

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    1. Ullah, Aman, 1974. "On the sampling distribution of improved estimators for coefficients in linear regression," Journal of Econometrics, Elsevier, vol. 2(2), pages 143-150, July.
    2. Yancey, Thomas A. & Judge, George G., 1976. "A Monte Carlo comparison of traditional and Stein-rule estimators under squared error loss," Journal of Econometrics, Elsevier, vol. 4(3), pages 285-294, August.
    3. Ullah, Aman, 1982. "The approximate distribution function of the Stein-rule estimator," Economics Letters, Elsevier, vol. 10(3-4), pages 305-308.
    4. Phillips, P.C.B., 1984. "The exact distribution of the Stein-rule estimator," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 123-131.
    5. Ohtani, Kazuhiro, 1993. "A Comparison of the Stein-Rule and Positive-Part Stein-Rule Estimators in a Misspecified Linear Regression Model," Econometric Theory, Cambridge University Press, vol. 9(4), pages 668-679, August.
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    Cited by:

    1. Akio Namba, 2015. "MSE dominance of the positive-part shrinkage estimator when each individual regression coefficient is estimated," Statistical Papers, Springer, vol. 56(2), pages 379-390, May.
    2. Ohtani, Kazuhiro, 1998. "Inadmissibility of the Stein-rule estimator under the balanced loss function," Journal of Econometrics, Elsevier, vol. 88(1), pages 193-201, November.
    3. Akio Namba, 2003. "On the use of the Stein variance estimator in the double k-class estimator when each individual regression coefficient is estimated," Statistical Papers, Springer, vol. 44(1), pages 117-124, January.

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