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Partial Minimax Estimation in Regression Analysis

Author

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  • F. Hering
  • G. Trenkler
  • P. Stahlecker

Abstract

The general minimax estimator of the linear regression model is applicable when the whole parameter vector is restricted to an ellipsoid. In many applications, however, it is more realistic to assume that only a part of the parameter set is constrained. For this case an alternative minimax approach is developed.

Suggested Citation

  • F. Hering & G. Trenkler & P. Stahlecker, 1987. "Partial Minimax Estimation in Regression Analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 41(2), pages 111-128, June.
  • Handle: RePEc:bla:stanee:v:41:y:1987:i:2:p:111-128
    DOI: 10.1111/j.1467-9574.1987.tb01177.x
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    Cited by:

    1. Moors, J.J.A. & van Houwelingen, J.C., 1987. "Estimation of linear models with inequality restrictions," Research Memorandum FEW 291, Tilburg University, School of Economics and Management.
    2. Moors, J.J.A. & van Houwelingen, J.C., 1987. "Estimation of linear models with inequality restrictions," Other publications TiSEM a96b4879-da97-4807-86e6-2, Tilburg University, School of Economics and Management.

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