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A new property of Stein procedure in measurement error model

Author

Listed:
  • Srivastava, Anil K.
  • Shalabh

Abstract

Stein-rule procedure is a known technique for yielding biased but efficient estimators of parameters. This article demonstrates that it can be utilized for overcoming the inconsistency of least squares estimators in measurement error models and therefrom providing a class of consistent estimators.

Suggested Citation

  • Srivastava, Anil K. & Shalabh, 1997. "A new property of Stein procedure in measurement error model," Statistics & Probability Letters, Elsevier, vol. 32(3), pages 231-234, March.
  • Handle: RePEc:eee:stapro:v:32:y:1997:i:3:p:231-234
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    References listed on IDEAS

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    1. H. Schneeweiß, 1976. "Consistent estimation of a regression with errors in the variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 23(1), pages 101-115, December.
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    Cited by:

    1. Shalabh, 1998. "Improved Estimation in Measurement Error Models Through Stein Rule Procedure," Journal of Multivariate Analysis, Elsevier, vol. 67(1), pages 35-48, October.

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