Aggregated functional data model for near-infrared spectroscopy calibration and prediction

Author： Dias Ronaldo   Garcia Nancy L.   Ludwig Guilherme   Saraiva Marley A.  

Publisher： Taylor & Francis Ltd

ISSN： 1360-0532

Source： Journal of Applied Statistics, Vol.42, Iss.1, 2015-01, pp. : 127-143

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Effect of Experimental Design on the Prediction Performance of Calibration Models Based on Near-Infrared Spectroscopy for Pharmaceutical Applications

By Bondi Robert W.   Igne Benoît   Drennen James K.   Anderson Carl A.  

Applied Spectroscopy, Vol. 66, Iss. 12, 2012-12 ,pp. : 1442-1453

Society for Applied Spectroscopy

Access to resources Recommend Favorite

Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter

By Wang Xiaomi   Chen Yiyun   Guo Long   Liu Leilei  

Remote Sensing, Vol. 9, Iss. 3, 2017-02 ,pp. : 201-201

MDPI

Access to resources Recommend Favorite

A Hierarchical Model for Aggregated Functional Data

By Dias Ronaldo   Garcia Nancy L.   Schmidt Alexandra M.  

Technometrics, Vol. 55, Iss. 3, 2013-08 ,pp. : 321-334

Taylor & Francis Ltd

Access to resources Recommend Favorite

The development of near-infrared spectroscopy (NIRS) prediction model for the quality components of flour and intact seed in mungbean

By WANG Li-Jun   LIU San-Cai   ME Yang   REN Gui-Xing   CHENG Xu-Zhen  

Journal of Plant Genetic Resources, Vol. 14, Iss. 5, 2013-13 ,pp. : 833-838

Editorial Office of Journal of Plant Genetic Resources

Access to resources Recommend Favorite