✦ LIBER ✦

Comparison of Approaches to Multivariate Linear Calibration

✍ Scribed by T. Naes

Publisher: John Wiley and Sons
Year: 1985
Tongue: English
Weight: 557 KB
Volume: 27
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710270304

No coin nor oath required. For personal study only.

✦ Synopsis

In thie paper two approaches to multivariate linear calibration in linear models are compared. One of these approaches is based on knowledge of the dietribution of the variable to be predicted.

The other one u ~e e

only information about the measurement instrument. The methodn are compared with reapect to risk function and their functional relationship is analysed. When concerns risk functiona we concentrate on aaymptotic multa.

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## Abstract A novel algorithm based on coupling of the fast wavelet transform (FWT) with MLR and PLS regression techniques for the selection of optimal regression models between matrices of signals and response variables is presented: wavelet interface to linear modelling analysis (WILMA). The algo