Statistical Estimation and Algorithm in Nonlinear Functions

  • Jea-Young Lee (Department of Statistics, Yeungnam Unicersity, Gyongsan, 712-749, KOREA)
  • Published : 1995.12.01

Abstract

A new algorithm was given to successively fit the multiexponential function/nonlinear function to data by a weighted least squares method, using Gauss-Newton, Marquardt, gradient and DUD methods for convergence. This study also considers the problem of linear-nonlimear weighted least squares estimation which is based upon the usual Taylor's formula process.

Keywords

References

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