Minimum Mean Squared Error Invariant Designs for Polynomial Approximation

  • Joong-Yang Park (Department of Statistics, Gyeongsang National University, Chinju, 660-701, KOREA)
  • Published : 1995.12.01

Abstract

Designs for polynomial approximation to the unknown response function are considered. Optimality criteria are monotone functions of the mean squared error matrix of the least squares estimator. They correspond to the classical A-, D-, G- and Q-optimalities. Optimal first order designs are chosen from the invariant designs and then compared with optimal second order designs.

Keywords

References

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