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Operational Variants of the Minimum Mean Squared Error Estimator in Linear Regression Models with Non-Spherical Disturbances

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  • Alan Wan
  • Anoop Chaturvedi

Abstract

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Suggested Citation

  • Alan Wan & Anoop Chaturvedi, 2000. "Operational Variants of the Minimum Mean Squared Error Estimator in Linear Regression Models with Non-Spherical Disturbances," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(2), pages 332-342, June.
  • Handle: RePEc:spr:aistmt:v:52:y:2000:i:2:p:332-342
    DOI: 10.1023/A:1004169923370
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    File URL: http://hdl.handle.net/10.1023/A:1004169923370
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    References listed on IDEAS

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    1. Toutenburg, H. & Trenkler, G. & Liski, E., 1992. "Optimal estimation methods under weakened linear restrictions in regression," Computational Statistics & Data Analysis, Elsevier, vol. 14(4), pages 527-536, November.
    2. Ohtani, Kazuhiro, 1999. "MSE performance of a heterogeneous pre-test estimator," Statistics & Probability Letters, Elsevier, vol. 41(1), pages 65-71, January.
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    Cited by:

    1. Chaturvedi, Anoop & Wan, Alan T. K. & Singh, Shri P., 2002. "Improved Multivariate Prediction in a General Linear Model with an Unknown Error Covariance Matrix," Journal of Multivariate Analysis, Elsevier, vol. 83(1), pages 166-182, October.
    2. Wan, Alan T. K. & Kurumai, Hiroko, 1999. "An iterative feasible minimum mean squared error estimator of the disturbance variance in linear regression under asymmetric loss," Statistics & Probability Letters, Elsevier, vol. 45(3), pages 253-259, November.
    3. Pal, Amresh Bahadur & Dubey, Ashutosh Kumar & Chaturvedi, Anoop, 2016. "Shrinkage estimation in spatial autoregressive model," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 362-373.

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