The estimation theory is reviewed. Attention is given to optimal techniques, specially the linear, under different conditions, namely: availability of prior information, presence of constraints, randomness of parameters. Robust techniques are presented as an alternative to optimal estimates under particular conditions, frequently occurring in metrology. Applications are given. The general problem of the propagation of statistical distributions is dealt with, and connection with computer-intensive techniques is highlighted.
Estimation and uncertainty in metrology / Bich, Walter. - (2001), pp. 653-688.
Estimation and uncertainty in metrology
BICH, WALTER
2001
Abstract
The estimation theory is reviewed. Attention is given to optimal techniques, specially the linear, under different conditions, namely: availability of prior information, presence of constraints, randomness of parameters. Robust techniques are presented as an alternative to optimal estimates under particular conditions, frequently occurring in metrology. Applications are given. The general problem of the propagation of statistical distributions is dealt with, and connection with computer-intensive techniques is highlighted.File in questo prodotto:
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