Acta mathematica scientia,Series A ›› 1998, Vol. 18 ›› Issue (1): 56-62.

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A Large Deviation for the Least Squares Estimators in Nonlinear Regression With m0 Dependent Errors

Hu Shuhe   

  1. Department of Mathematics, Anhui University, hefei 230039
  • Received:1996-04-08 Online:1998-03-26 Published:1998-03-26

Abstract: We give a law of large deviation (LLD) for.LS estimator θn in a nonlinear regression model with m0 dependent errors, this generalizes the results in Sleders and Dzhaparidze (1987).

Key words: Nonlinear regression, Least squares, Large deviation, m0 dependent error

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