Åsmund Rinnan
Associate Professor
ORCID: 0000-0002-7754-7720
1 - 4 out of 4Page size: 10
- Published
New chemometric methods for solving classification problems in NIR spectroscopy
Egebo, M., Rinnan, Åsmund, Engelsen, Søren Balling, Bro, Rasmus & Nørgaard, L., 2012, Proceedings of the 15th International Conference on Near Infrared Spectroscopy. p. 87-90 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
- Published
The shift in plant species composition in a subarctic mountain birch forest floor due to climate change would modify the biogenic volatile organic compound mission profile
Faubert, P., Tiiva, P., Michelsen, Anders, Rinnan, Åsmund, Ro-Poulsen, Helge & Rinnan, Riikka, 2012, In: Plant and Soil. 352, 1-2, p. 199-215 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Significance of the structure of data in partial least squares regression predictions involving both natural and human experimental design
Rinnan, Åsmund & Munck af Rosenschøld, Lars M, Apr 2012, In: Journal of Chemometrics. 26, 8-9, p. 487-495 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Selection of representative calibration sample sets for near-infrared reflectance spectroscopy to predict nitrogen concentration in grasses
Shetty, N., Rinnan, Åsmund & Gislum, R., 2012, In: Chemometrics and Intelligent Laboratory Systems. 111, 1, p. 59-65 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 4231304
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How the energy evaluation method used in the geometry optimization step affect the quality of the subsequent QSAR/QSPR models
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
318
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Large increases in Arctic biogenic volatile emissions are a direct effect of warming
Research output: Contribution to journal › Letter › Research › peer-review
Published -
242
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Recursive weighted PLS (rPLS): an efficient and promising multivariate method for spectral variable selection in regression
Research output: Contribution to conference › Paper › Research › peer-review
Published