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Improving NIRS predictions of ingredient composition in compound feedingstuffs using Bayesian non-parametric calibrations

Perez-Marin, D; Fearn, T; Guerrero, JE; Garrido-Varo, A; (2012) Improving NIRS predictions of ingredient composition in compound feedingstuffs using Bayesian non-parametric calibrations. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , 110 (1) 108 - 112. 10.1016/j.chemolab.2011.10.007.

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Type: Article
Title: Improving NIRS predictions of ingredient composition in compound feedingstuffs using Bayesian non-parametric calibrations
DOI: 10.1016/j.chemolab.2011.10.007
Keywords: Bayesian statistics, Nonlinear calibration, Near-infrared reflectance spectroscopy, Compound feeds, Ingredient percentage
UCL classification: UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science
URI: http://discovery.ucl.ac.uk/id/eprint/1340836
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