Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nils B. Vogt"'
Autor:
Emil Arne Kleppe, Nils B. Vogt
Publikováno v:
Polymer Degradation and Stability. 94:659-663
Samples of polyethylene (PE) and polypropylene (PP) with 2% Renatura™ pro-oxidant additive were subjected to varying times of weathering (UVCON; ISO 4892-3), transferred to dark thermal exposure (at 70 °C) and the subsequent degradation monitored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deecdc78bfb31ab0c5a35813dc57a4b7
https://doi.org/10.1016/j.polymdegradstab.2009.01.002
https://doi.org/10.1016/j.polymdegradstab.2009.01.002
Autor:
Nils B. Vogt
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 14:93-101
Vogt, N.B., 1992. Quality by design. Managing research and development. Chemometrics and Intelligent Laboratory Systems , 14: 93–101. Quantitative methods of analyses and prediction which make multivariate and complex data more comprehendible contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7752a82a6f4f295c47757357ed4d6782
https://doi.org/10.1016/0169-7439(92)80095-l
https://doi.org/10.1016/0169-7439(92)80095-l
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 9:185-199
Bye, E., Heiberg, A.B. and Vogt, N.B., 1990. Evaluation of the direct and autocorrelated use of physicochemical descriptors in quantitative structure—property relationship studies. A partial least squares prediction of log P for chlorinated alkylbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40de2dceba8e72242f9d65b7e06151c8
https://doi.org/10.1016/0169-7439(90)80097-p
https://doi.org/10.1016/0169-7439(90)80097-p
Autor:
Nils B. Vogt
Publikováno v:
Organic Micropollutants in the Aquatic Environment ISBN: 9789401054836
Pollution in the environment is measured as a combination of changes in chemical concentrations, physical conditions and biological systems. By using multivariate methods on the data obtained from extencive measurement programs the environmental anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07dbf9d1edaa36763fa7de26597e91c4
https://doi.org/10.1007/978-94-011-3356-2_4
https://doi.org/10.1007/978-94-011-3356-2_4
Autor:
Nils B. Vogt
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 7:205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a197c5407b5952126b119d76e2c9a8b4
https://doi.org/10.1016/0169-7439(90)80106-g
https://doi.org/10.1016/0169-7439(90)80106-g
Autor:
Nils B. Vogt
Publikováno v:
Journal of Chemometrics. 2:81-84
Principal component analysis is a useful method for analysing data-matrices. By analysing separate class models, i.e. disjoint principal component modelling as in the SIMCA or FCVPC programs (developed for supervised and unsupervised principal compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c5809278c94ffd434f60629ecb64ce7
https://doi.org/10.1002/cem.1180020109
https://doi.org/10.1002/cem.1180020109
Publikováno v:
The Journal of Foraminiferal Research. 19:38-51
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb7f4224cb32218a432a136f1e913a8b
https://doi.org/10.2113/gsjfr.19.1.38
https://doi.org/10.2113/gsjfr.19.1.38
Autor:
Nils B. Vogt
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 1:213-231
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f067f17a6747ce751660a95ea352c23
https://doi.org/10.1016/0169-7439(87)80066-7
https://doi.org/10.1016/0169-7439(87)80066-7
Publikováno v:
Mikrochimica Acta. 89:125-138
Chemical and physical analyses of malt, the main ingredient of beer, have been used to predict the concentration of certain volatile compounds in the finished beer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30589f959ce7c940165947a07077a672
https://doi.org/10.1007/bf01207312
https://doi.org/10.1007/bf01207312
Publikováno v:
The Histochemical Journal. 21:15-22
The SIMCA (soft independent modelling of class analogy) method of pattern recognition has been used to classify four muscle fibre types: I, IIA, IIB and IIC. The samples were histochemically stained human skeletal sections from biopsy material. Disjo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b43faa27cae67637685c8991bce96aa
https://doi.org/10.1007/bf01002467
https://doi.org/10.1007/bf01002467