Bayesian algorithms for missing observations in experimental designs for a nanolubrication process

@inproceedings{Acharya2009BayesianAF,
  title={Bayesian algorithms for missing observations in experimental designs for a nanolubrication process},
  author={Navinchandra N. Acharya and Harriet Black Nembhard},
  year={2009}
}
Three new Bayesian algorithms for missing observations based on predictive ability and minimization of the Residual Sum of Squares (RSS) are proposed. Their performance is compared to three existing algorithms based on an appropriate predicted residual error sum of squares statistic. Different positions of the missing observations and initial model conditions are considered. In all the investigated cases, the Bayesian algorithms perform significantly better than non-Bayesian algorithms. A… CONTINUE READING

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