Asymptotic Properties of Nonlinear Least Absolute Deviation Estimators

  • Kim, Hae-Kyung (Department of Mathematics, Yonsei University, Seoul 120) ;
  • Park, Seung-Hoe (Department of Mathematics, Yonsei University, Seoul 120)
  • Published : 1995.06.01

Abstract

This paper is concerned with the asymptotic properties of the least absolute deviation estimators for nonlinear regression models. The simple and practical sufficient conditions for the strong consistency and the asymptotic normality of the least absolute deviation estimators are given. It is confirmed that the extension of these properties to wide class of regression functions can be established by imposing some condition on the input values. A confidence region based on the least absolute deviation estimators is proposed and some desirable asymptotic properties including the asymptotic relative efficiency also discussed for various error distributions. Some examples are given to illustrate the application of main results.

Keywords

References

  1. Journal of the American Statistical Association v.73 Asymptotic theory of least absolute error regression Bassett,G.;Koenker,R.
  2. Z. Wahrscheinlickeitstheorie verw. Gebiete v.34 Weak and strong consistency of the least square estimates in the regression models Drygas,H.
  3. Communications in Statistics:Theory and Method v.14 Nonlinear $L_p$-norm estimation:Part Ⅰ- On the choice of the exponent, p, where the errors are additive Gonin,R.;Money,A.H.
  4. Z. Wahrscheinlickeitstheorie verw. Gebiete v.27 Robust Estimation:A Condensed Partial Survey Hampel,F.R.
  5. Annals of Mathematical Statistics v.43 Robust Statistics:A Review Huber,P.J.
  6. Annals of Mathematical Statistics v.4 no.2 Asymptotic properties of non-linear least squares estimators Jennrich,R.I.
  7. Annals of Mathematical Statistics v.41 The consistency of nonlinear regression Malinvaud,E.
  8. Communications in Statistics:Theory and Method v.12 The optimal $L_p$-norm estimator in linear regression models Nyquist,H.
  9. Annals of Statistics v.10 no.1 The consistency of nonlinear regression minimizing the L₁-norm Oberhofer,W.
  10. Sankhy a, Series A v.49 Consistent L₁-estimators in nonlinear regression for a noncompact parameter space Richardson,G.D.;Bhattacharyya,B.B.