Approximations of Optimal Calibration Experimental Designs Using Gaussian Influence Diagrams

  • Kim, Sung-Chul (Department of Statistics, Soongsil University, Seoul 156-743)
  • Published : 1993.12.01

Abstract

A measuring instrument must be calibrated for accurate inferences of an unknown quantity. Bayesian calibration designs with respect to squared error loss based on a linear model are discussed in Kim and Barlow (1992). In this paper, we consider approximations of the optimal calibration designs using the idea of Gaussian inflence diagrams. The approximation is evaluated by means of numerical calculations, where it is compared with the exact values from the numerical integration.

Keywords

References

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