Statheropoulos, M
1991
Canonical Correlation Analysis of Multisource Fossil Fuel Data
Meuzelaar, H.L.C.; Statheropoulos, M.; Huai, H. and Yun, Y.
Computer-Enhanced Analytical Spectroscopy, 3:185-214, (P.C. Jurs, ed.), Plenum Publishing Co., New York, 1991. Funded by ACERC and US Department of Energy.
The following sections of this chapter will demonstrate the application of Canonical Correlation Analysis (CCA) to multisource fossil fuel data generated by the application of three different spectroscopic methods: Pyrolysis Low Voltage Electron Ionization Mass Spectrometry (LVMS); Pyrolysis Field Ionization Mass Spectrometry (FIMS); and Photo-acoustic Fourier Transform Infrared Spectroscopy (FTIR) to a single suite of eight U.S. coals obtained from the Argonne National Laboratory Premium Coal Sample Program (ANL-PCSP). Consequently, the three data sets obtained describe the same suite of samples but are markedly different with respect to number as well as type of variables.
Statheropoulos, M
1991
Canonical Correlation Analysis of Multisource Fossil Fuel Data
Meuzelaar, H.L.C.; Statheropoulos, M.; Huai, H. and Yun, Y.
Computer-Enhanced Analytical Spectroscopy, 3:185-214, (P.C. Jurs, ed.), Plenum Publishing Co., New York, 1991. Funded by ACERC and US Department of Energy.
The following sections of this chapter will demonstrate the application of Canonical Correlation Analysis (CCA) to multisource fossil fuel data generated by the application of three different spectroscopic methods: Pyrolysis Low Voltage Electron Ionization Mass Spectrometry (LVMS); Pyrolysis Field Ionization Mass Spectrometry (FIMS); and Photo-acoustic Fourier Transform Infrared Spectroscopy (FTIR) to a single suite of eight U.S. coals obtained from the Argonne National Laboratory Premium Coal Sample Program (ANL-PCSP). Consequently, the three data sets obtained describe the same suite of samples but are markedly different with respect to number as well as type of variables.