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Significance of Differences of Estimates

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Asymptotic Statistics

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Abstract

A test for evaluating the significance of difference between the estimates of regression model is proposed. The idea is applicable on any estimator having Bahadur’s representation, nevertheless for the simplicity it is explained on a concrete example of One-step M-estimates. Performance of the test is illustrated by a numerical example.

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References

  • Bocek, P., Launnut, P. (1993), “Linear programming approach to LMS-estimation”, to appear in Memorial volume of Comput. Statist. & Data Analysis devoted to T. Havránek.

    Google Scholar 

  • Hettmansperger, T. P., Sheather, S. J. (1992), “A Cautionary Note on the Method of Least Median Squares”, The American Statistician 46, 79–83.

    MathSciNet  Google Scholar 

  • Jurečková, J., Portnoy, S. (1988): Asymptotics for one-step M-estimators in regression with application to combining efficiency and high breakdown point. Comumunications in Statist. A 16, pp. 2187–2199.

    Article  Google Scholar 

  • Mason, R.L., Gunst, R.F., Hess, J.L. (1989), Statistical Design and Analysis of Experiments, New York: John Wiley.

    Google Scholar 

  • Rousseeuw, P.J. (1984): Least median of square regression. Journal of Amer. Statist. Association 79, pp. 871–880.

    Article  MathSciNet  MATH  Google Scholar 

  • Rubio, A. M., Víšek, J.Ă. (1993): Diagnostics of regression model: Test of goodness-of-fit. In these proceedings.

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  • Visek, J. Ă. (1992a): Adaptive estimation in linear regression model and test of symmetry of residuals. Contributions to Statistics: Model-Oriented Data Analysis, Springer Verlag (1992), eds. V. Fedorov, W. G. Műller and I. N. Vuchkov, 133-149.

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  • Visek, J. A. (1992b): Stability of regression model estimates with respect to sub-samples. Computational Statistics 7, 183–203.

    MathSciNet  MATH  Google Scholar 

  • Visek, J. Ă. (1993): A goodness of fit test of the linear regression models based on the weighted Hellinger distance. Submitted to print.

    Google Scholar 

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© 1994 Springer-Verlag Berlin Heidelberg

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Boček, P., Víšek, J.Ă. (1994). Significance of Differences of Estimates. In: Mandl, P., Hušková, M. (eds) Asymptotic Statistics. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57984-4_15

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  • DOI: https://doi.org/10.1007/978-3-642-57984-4_15

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0770-7

  • Online ISBN: 978-3-642-57984-4

  • eBook Packages: Springer Book Archive

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