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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) pp. 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: Science & Technology, Technology, Physical Sciences, Automation & Control Systems, Chemistry, Analytical, Computer Science, Artificial Intelligence, Instruments & Instrumentation, Mathematics, Interdisciplinary Applications, Statistics & Probability, Chemistry, Computer Science, Mathematics, AUTOMATION & CONTROL SYSTEMS, CHEMISTRY, ANALYTICAL, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, INSTRUMENTS & INSTRUMENTATION, MATHEMATICS, INTERDISCIPLINARY APPLICATIONS, STATISTICS & PROBABILITY, Bayesian statistics, Nonlinear calibration, Near-infrared reflectance spectroscopy, Compound feeds, Ingredient percentage, INFRARED REFLECTANCE SPECTROSCOPY
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1340836
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