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On the Polynomial Measurement Error Model

In: Total Least Squares and Errors-in-Variables Modeling

Author

Listed:
  • Chi-Lun Cheng

    (Academia Sinica, Institute of Statistical Science)

  • Hans Schneeweiss

    (University of Munich, Department of Statistics)

Abstract

This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in-variables) models. This includes functional and structural models. The connection between these models and total least squares (TLS) is also examined. A compendium of existing as well as new results is presented.

Suggested Citation

  • Chi-Lun Cheng & Hans Schneeweiss, 2002. "On the Polynomial Measurement Error Model," Springer Books, in: Sabine Van Huffel & Philippe Lemmerling (ed.), Total Least Squares and Errors-in-Variables Modeling, pages 131-143, Springer.
    • Handle: RePEc:spr:sprchp:978-94-017-3552-0_12
    DOI: 10.1007/978-94-017-3552-0_12
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