The extended-least-squares treatment of correlated data

@inproceedings{Cohen1994TheET,
  title={The extended-least-squares treatment of correlated data},
  author={E. R. Cohen and V. S. Tuninsky},
  year={1994}
}
A generalization of the extended-least-squares algorithms for the case of correlated discrepant data is given. The expressions of the linear, unbiased, minimum-variance estimators (LUMVE) derived before are reformulated. A posteriori estimates of the variance taking into account the inconsistency of all of the experimental data have the same form as for the case of non-correlated data. These estimates extend the previous improvement on the "traditional" Birge-ratio procedures to the case of… CONTINUE READING

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