Computational Methods for Detection of Multiple Outliers in Nonlinear Regression

  • Myung-Wook Kahng (Associate Professor, Department of Statistics, Sooknyung Women's University, Seoul, 140-742, Korea)
  • Published : 1996.08.01

Abstract

The detection of multiple outliers in nonlinear regression models can be computationally not feasible. As a compromise approach, we consider the use of simulated annealing algorithm, an approximate approach to combinatorial optimization. We show that this method ensures convergence and works well in locating multiple outliers while reducing computational time.

Keywords

References

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