On the conic section fitting problem

  • Authors:
  • Sergiy Shklyar;Alexander Kukush;Ivan Markovsky;Sabine Van Huffel

  • Affiliations:
  • Kiew National Taras Shevchenko University, Vladimirskaya st. 64, 01033, Kiev, Ukraine;Kiew National Taras Shevchenko University, Vladimirskaya st. 64, 01033, Kiev, Ukraine;K.U.Leuven, ESAT-SCD, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium;K.U.Leuven, ESAT-SCD, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium

  • Venue:
  • Journal of Multivariate Analysis
  • Year:
  • 2007

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Abstract

Adjusted least squares (ALS) estimators for the conic section problem are considered. Consistency of the translation invariant version of ALS estimator is proved. The similarity invariance of the ALS estimator with estimated noise variance is shown. The conditions for consistency of the ALS estimator are relaxed compared with the ones of the paper Kukush et al. [Consistent estimation in an implicit quadratic measurement error model, Comput. Statist. Data Anal. 47(1) (2004) 123-147].