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Volumn 544, Issue 1-2 SPEC. ISS., 2005, Pages 177-183

Replicate analysis and outlier detection in multivariate NIR calibration, illustrated with biofuel analysis

Author keywords

At line; Moisture; Multivariate calibration; Natural variability; Near infrared spectroscopy; Off line; Outlier statistics; Prediction

Indexed keywords

DIAGNOSIS; INFRARED SPECTROSCOPY; MOISTURE; MULTIVARIABLE CONTROL SYSTEMS; PARAMETER ESTIMATION;

EID: 20444475845     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2005.01.057     Document Type: Conference Paper
Times cited : (21)

References (38)
  • 5
    • 0035130593 scopus 로고    scopus 로고
    • Briquetting and combustion of spring-harvested reed canary-grass: Effect of fuel composition
    • S. Paulrud, and C. Nilsson Briquetting and combustion of spring-harvested reed canary-grass: effect of fuel composition Biomass and Bioenergy 20 2001 25 35
    • (2001) Biomass and Bioenergy , vol.20 , pp. 25-35
    • Paulrud, S.1    Nilsson, C.2
  • 6
    • 0030953884 scopus 로고    scopus 로고
    • Influence of harvest time and soil type on fuel quality in reed canary grass (Phalaris arundinacea L.)
    • J. Burvall Influence of harvest time and soil type on fuel quality in reed canary grass (Phalaris arundinacea L.) Biomass and Bioenergy 12 1997 149 154
    • (1997) Biomass and Bioenergy , vol.12 , pp. 149-154
    • Burvall, J.1
  • 7
    • 0030497770 scopus 로고    scopus 로고
    • Harvest in spring improves yield and quality of reed canary grass as a bioenergy crop
    • S. Landström, L. Lomakka, and S. Andersson Harvest in spring improves yield and quality of reed canary grass as a bioenergy crop Biomass and Bioenergy 11 1996 333 341
    • (1996) Biomass and Bioenergy , vol.11 , pp. 333-341
    • Landström, S.1    Lomakka, L.2    Andersson, S.3
  • 9
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basis and beyond
    • S. Qin Statistical process monitoring: basis and beyond J. Chemometrics 17 2003 480 502
    • (2003) J. Chemometrics , vol.17 , pp. 480-502
    • Qin, S.1
  • 13
    • 0028905904 scopus 로고
    • Process analysis, monitoring and diagnosis, using multivariate projection methods
    • T. Kourti, and J. MacGregor Process analysis, monitoring and diagnosis, using multivariate projection methods Chemometrics Intelligent Lab. Syst. 28 1995 3 21
    • (1995) Chemometrics Intelligent Lab. Syst. , vol.28 , pp. 3-21
    • Kourti, T.1    MacGregor, J.2
  • 15
    • 0030262558 scopus 로고    scopus 로고
    • Multivariate SPC methods for process and product monitoring
    • T. Kourti, and J. MacGregor Multivariate SPC methods for process and product monitoring J. Quality Technol. 28 1996 409 428
    • (1996) J. Quality Technol. , vol.28 , pp. 409-428
    • Kourti, T.1    MacGregor, J.2
  • 16
    • 0030530039 scopus 로고    scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • B. Wise, and N. Gallagher The process chemometrics approach to process monitoring and fault detection J. Process Cont. 6 1996 329 348
    • (1996) J. Process Cont. , vol.6 , pp. 329-348
    • Wise, B.1    Gallagher, N.2
  • 20
    • 0023089433 scopus 로고
    • Determination of water content and calorific value of peat by near IR spectroscopy
    • E. Johansson, J.-Å. Persson, and C. Albano Determination of water content and calorific value of peat by near IR spectroscopy Fuel 66 1987 22 27
    • (1987) Fuel , vol.66 , pp. 22-27
    • Johansson, E.1    Persson, J.-Å.2    Albano, C.3
  • 24
    • 0037767107 scopus 로고    scopus 로고
    • Assessing the biomass dynamics of Andean bofedal and totora high-protein wetland grasses from NOAA/AVHRR
    • S. Moreau, R. Bosseno, X. Gu, and F. Baret Assessing the biomass dynamics of Andean bofedal and totora high-protein wetland grasses from NOAA/AVHRR Remote Sens. Environ. 85 2003 516 529
    • (2003) Remote Sens. Environ. , vol.85 , pp. 516-529
    • Moreau, S.1    Bosseno, R.2    Gu, X.3    Baret, F.4
  • 26
    • 0034765993 scopus 로고    scopus 로고
    • New hyperspectral vegetation characterization parameters
    • R. Gupta, D. Vijayan, and T. Prasad New hyperspectral vegetation characterization parameters Adv. Space Res. 28 2001 201 206
    • (2001) Adv. Space Res. , vol.28 , pp. 201-206
    • Gupta, R.1    Vijayan, D.2    Prasad, T.3
  • 27
    • 0033970477 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
    • P. Thenkabail, R. Smith, and E. De Pauw Hyperspectral vegetation indices and their relationships with agricultural crop characteristics Remote Sens. Environ. 71 2000 158 182
    • (2000) Remote Sens. Environ. , vol.71 , pp. 158-182
    • Thenkabail, P.1    Smith, R.2    De Pauw, E.3
  • 28
    • 0032209130 scopus 로고    scopus 로고
    • Hyperspectral imaging and stress mapping in agriculture: A case study on wheat in Beauce (France)
    • C. Lelong, P. Pinet, and H. Poilvé Hyperspectral imaging and stress mapping in agriculture: a case study on wheat in Beauce (France) Remote Sens. Environ. 66 1998 179 191
    • (1998) Remote Sens. Environ. , vol.66 , pp. 179-191
    • Lelong, C.1    Pinet, P.2    Poilvé, H.3
  • 29
    • 0032036204 scopus 로고    scopus 로고
    • Comparisons among vegetation indices and bandwise regression in a highly disturbed, heterogeneous landscape: Mount St. Helens, Washington
    • R. Lawrence, and W. Ripple Comparisons among vegetation indices and bandwise regression in a highly disturbed, heterogeneous landscape: Mount St. Helens, Washington Remote Sens. Environ. 64 1998 91 102
    • (1998) Remote Sens. Environ. , vol.64 , pp. 91-102
    • Lawrence, R.1    Ripple, W.2
  • 30
    • 0026293429 scopus 로고
    • The use of remotely sensed data in estimation of PAR use efficiency and biomass production of flooded rice
    • B. Leblon, M. Guerif, and F. Baret The use of remotely sensed data in estimation of PAR use efficiency and biomass production of flooded rice Remote Sens. Environ. 38 1991 147 158
    • (1991) Remote Sens. Environ. , vol.38 , pp. 147-158
    • Leblon, B.1    Guerif, M.2    Baret, F.3
  • 31
    • 0015727006 scopus 로고
    • The use of near-infrared photography in the analysis of surface morphology of an argentine alluvial floodplain
    • D. Conway, and R. Holz The use of near-infrared photography in the analysis of surface morphology of an argentine alluvial floodplain Remote Sens. Environ. 2 1971-1973 235 242
    • (1971) Remote Sens. Environ. , vol.2 , pp. 235-242
    • Conway, D.1    Holz, R.2
  • 32
    • 0030465732 scopus 로고    scopus 로고
    • Compositional analysis of biomass feedstocks by near infrared reflectance spectroscopy
    • M. Saunderson, F. Agblevor, M. Collins, and D. Johnson Compositional analysis of biomass feedstocks by near infrared reflectance spectroscopy Biomass and Bioenergy 11 1996 365 370
    • (1996) Biomass and Bioenergy , vol.11 , pp. 365-370
    • Saunderson, M.1    Agblevor, F.2    Collins, M.3    Johnson, D.4
  • 33
    • 0037961663 scopus 로고    scopus 로고
    • Application of near infrared spectroscopy to rapid analysis of coals (abstract)
    • M. Kaihara, M. Takahashi, T. Akazawa, T. Sato, and S. Takahashi Application of near infrared spectroscopy to rapid analysis of coals (abstract) Spectrosc. Lett. 35 2002 369 376
    • (2002) Spectrosc. Lett. , vol.35 , pp. 369-376
    • Kaihara, M.1    Takahashi, M.2    Akazawa, T.3    Sato, T.4    Takahashi, S.5
  • 35
    • 20444440546 scopus 로고    scopus 로고
    • The MathWorks, Inc., Crystal Glen Office Centre, 39555 Orchard Hill Place, Suite 280, Novi, MI 48375, US.
    • The MathWorks, Inc., Crystal Glen Office Centre, 39555 Orchard Hill Place, Suite 280, Novi, MI 48375, US.
  • 36
    • 20444443736 scopus 로고    scopus 로고
    • Eigenvector Research, Inc., 830 Wapato Lake Road, Manson, WA 98831, US.
    • Eigenvector Research, Inc., 830 Wapato Lake Road, Manson, WA 98831, US.
  • 37
    • 0345281685 scopus 로고    scopus 로고
    • Extreme value theory and its potential role in chemometrics: An introduction
    • P. Geladi, and J.L. Teugels Extreme value theory and its potential role in chemometrics: an introduction J. Chemometrics 10 1996 547 567
    • (1996) J. Chemometrics , vol.10 , pp. 547-567
    • Geladi, P.1    Teugels, J.L.2


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