메뉴 건너뛰기




Volumn 7, Issue 3, 2014, Pages 781-797

Methods for estimating uncertainty in factor analytic solutions

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; FACTOR ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 84897382637     PISSN: 18671381     EISSN: 18678548     Source Type: Journal    
DOI: 10.5194/amt-7-781-2014     Document Type: Article
Times cited : (384)

References (25)
  • 1
    • 64649093979 scopus 로고    scopus 로고
    • Calculation and meaning of feasible band boundaries in multivariate curve resolution of a two-component system
    • Abdollahi, H., Maeder, M., and Tauler, R.: Calculation and meaning of feasible band boundaries in multivariate curve resolution of a two-component system, Anal. Chem., 81, 2115-2122, 2009.
    • (2009) Anal. Chem , vol.81 , pp. 2115-2122
    • Abdollahi, H.1    Maeder, M.2    Tauler, R.3
  • 2
    • 82955203149 scopus 로고    scopus 로고
    • Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization
    • Amato, F. and Hopke, P. K.: Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization, Atmos. Environ., 46, 329-337, 2012.
    • (2012) Atmos. Environ , vol.46 , pp. 329-337
    • Amato, F.1    Hopke, P.K.2
  • 3
    • 65549107473 scopus 로고    scopus 로고
    • Quantifying road dust resuspension in urban environment by multilinear engine: A comparison with PMF2
    • Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez, N., and Hopke, P. K.: Quantifying road dust resuspension in urban environment by multilinear engine: a comparison with PMF2, Atmos. Environ., 43, 2770-2780, 2009.
    • (2009) Atmos. Environ , vol.43 , pp. 2770-2780
    • Amato, F.1    Pandolfi, M.2    Escrig, A.3    Querol, X.4    Alastuey, A.5    Pey, J.6    Perez, N.7    Hopke, P.K.8
  • 5
    • 84877145108 scopus 로고    scopus 로고
    • Receptor modeling of near-roadway aerosol mass spectrometer data in Las Vegas, Nevada, with EPA PMF
    • doi:10.5194/acp-12-309-2012
    • Brown, S. G., Lee, T., Norris, G. A., Roberts, P. T., J. L. Collett, Jr., Paatero, P., and Worsnop, D. R.: Receptor modeling of near-roadway aerosol mass spectrometer data in Las Vegas, Nevada, with EPA PMF, Atmos. Chem. Phys., 12, 309-325, doi:10.5194/acp-12-309-2012, 2012.
    • (2012) Atmos. Chem. Phys , vol.12 , pp. 309-325
    • Brown, S.G.1    Lee, T.2    Norris, G.A.3    Roberts, P.T.4    Collett Jr., J.L.5    Paatero, P.6    Worsnop, D.R.7
  • 9
    • 36348991364 scopus 로고    scopus 로고
    • Compilation and assessment of recent positive matrix factorization and UNMIX receptor model studies on fine particulate matter source apportionment for the eastern United States
    • DOI 10.3155/1047-3289.57.11.1307
    • Engel-Cox, J. A. and Weber S. A.: Compilation and assessment of recent positive matrix factorization and UNMIX receptor model studies on fine particulate matter source apportionment for the eastern United States, J. Air Waste Manage. Assoc., 57, 1307-1316, 2007. (Pubitemid 350144532)
    • (2007) Journal of the Air and Waste Management Association , vol.57 , Issue.11 , pp. 1307-1316
    • Engel-Cox, J.A.1    Weber, S.A.2
  • 10
    • 0033485365 scopus 로고    scopus 로고
    • Computation of the range of feasible solutions in self-modeling curve resolution algorithms
    • Gemperline, P. J.: Computation of the range of feasible solutions in self-modeling curve resolution algorithms, Anal. Chem., 71, 5398-5404, 1999. (Pubitemid 129563261)
    • (1999) Analytical Chemistry , vol.71 , Issue.23 , pp. 5398-5404
    • Gemperline, P.J.1
  • 11
    • 11044237897 scopus 로고    scopus 로고
    • Source contributions to PM10 and arsenic concentrations in Central Chile using positive matrix factorization
    • DOI 10.1016/j.atmosenv.2004.11.001, PII S1352231004010167
    • Hedberg, E., Gidhagen, L., and Johansson, C.: Source contributions to PM10 and arsenic concentrations in Central Chile using positive matrix factorization, Atmos. Environ., 39, 549-561, 2005. (Pubitemid 40044720)
    • (2005) Atmospheric Environment , vol.39 , Issue.3 , pp. 549-561
    • Hedberg, E.1    Gidhagen, L.2    Johansson, C.3
  • 12
    • 0023524157 scopus 로고
    • Current factor analysis models are ill-posed
    • Henry, R. C.: Current factor analysis models are ill-posed, Atmos. Environ., 21, 1815-1820, 1987.
    • (1987) Atmos. Environ , vol.21 , pp. 1815-1820
    • Henry, R.C.1
  • 13
    • 0030917692 scopus 로고    scopus 로고
    • History and fundamentals of multivariate air quality receptor models
    • Henry, R. C.: History and fundamentals of multivariate air quality receptor models, Chemometrics and Intelligent Laboratory Systems, 37, 525-530, 1997.
    • (1997) Chemometrics and Intelligent Laboratory Systems , vol.37 , pp. 525-530
    • Henry, R.C.1
  • 14
    • 77955926608 scopus 로고    scopus 로고
    • MCR-BANDS: A user friendly MATLAB program for the evaluation of rotation ambiguities in Multivariate Curve Resolution
    • Jaumot, J. and Tauler, R.: MCR-BANDS: a user friendly MATLAB program for the evaluation of rotation ambiguities in Multivariate Curve Resolution. Chemometrics and Intelligent Laboratory Systems, 103, 96-107, 2010.
    • (2010) Chemometrics and Intelligent Laboratory Systems , vol.103 , pp. 96-107
    • Jaumot, J.1    Tauler, R.2
  • 15
    • 40849083435 scopus 로고    scopus 로고
    • Comparison of PM2.5 source apportionment using positive matrix factorization and molecular marker-based chemical mass balance
    • Ke, L., Liu,W.,Want, Y., Russell, A. G., Edgerton, E. S., and Zheng, M.: Comparison of PM2.5 source apportionment using positive matrix factorization and molecular marker-based chemical mass balance, Sci. Total Environ., 394, 290-302, 2008.
    • (2008) Sci. Total Environ , vol.394 , pp. 290-302
    • Ke, L.1    Liu, W.2    Want, Y.3    Russell, A.G.4    Edgerton, E.S.5    Zheng, M.6
  • 16
    • 34547092940 scopus 로고    scopus 로고
    • Source identifications of airborne fine particles using positive matrix factorization and U.S. Environmental Protection Agency positive matrix factorization
    • DOI 10.3155/1047-3289.57.7.811
    • Kim, E. and Hopke, P. K.: Source identifications of airborne fine particles using positive matrix factorization and U.S. Environmental Protection Agency positive matrix factorization, J. Air Waste Manage. Assoc., 57, 811-819, 2007. (Pubitemid 47104959)
    • (2007) Journal of the Air and Waste Management Association , vol.57 , Issue.7 , pp. 811-819
    • Kim, E.1    Hopke, P.K.2
  • 18
    • 0030954231 scopus 로고    scopus 로고
    • Least squares formulation of robust non-negative factor analysis
    • DOI 10.1016/S0169-7439(96)00044-5, PII S0169743996000445
    • Paatero, P.: Least squares formulation of robust non-negative factor analysis, Chemometrics and Intelligent Laboratory Systems, 37, 23-35, 1997. (Pubitemid 27242783)
    • (1997) Chemometrics and Intelligent Laboratory Systems , vol.37 , Issue.1 , pp. 23-35
    • Paatero, P.1
  • 19
    • 60149109151 scopus 로고    scopus 로고
    • Rotational tools for factor analytic models
    • Paatero, P. and Hopke, P. K.: Rotational Tools for Factor Analytic Models, J. Chemometrics, 23, 91-100, 2009.
    • (2009) J. Chemometrics , vol.23 , pp. 91-100
    • Paatero, P.1    Hopke, P.K.2
  • 20
    • 0028561099 scopus 로고
    • Positive matrix factorization: A nonnegative factor model with optimal utilization of error estimates of data values
    • Paatero, P. and Tapper, U.: Positive matrix factorization: a nonnegative factor model with optimal utilization of error estimates of data values, Environmetrics, 5, 111-126, 1994.
    • (1994) Environmetrics , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2
  • 21
    • 0037185563 scopus 로고    scopus 로고
    • Understanding and controlling rotations in factor analytic models
    • DOI 10.1016/S0169-7439(01)00200-3, PII S0169743901002003
    • Paatero, P., Hopke, P. K., Song, X. H., and Ramadan, Z.: Understanding and controlling rotations in factor analytic models, Chemometrics an Intelligent Laboratory Systems, 60, 253-264, 2002. (Pubitemid 34098935)
    • (2002) Chemometrics and Intelligent Laboratory Systems , vol.60 , Issue.1-2 , pp. 253-264
    • Paatero, P.1    Hopke, P.K.2    Song, X.-H.3    Ramadan, Z.4
  • 22
    • 0035577366 scopus 로고    scopus 로고
    • Comparative application of multiple receptor methods to identify aerosol sources in northern Vermont
    • DOI 10.1021/es010588p
    • Poirot, R. L., Wishinski, P. R., Hopke, P. K., and Polissar, A. V.: Comparative application of multiple receptor methods to identify aerosol sources in northern Vermont, Environ. Sci. Technol., 35, 4622-4636, 2001. (Pubitemid 33111511)
    • (2001) Environmental Science and Technology , vol.35 , Issue.23 , pp. 4622-4636
    • Poirot, R.L.1    Wishinski, P.R.2    Hopke, P.K.3    Polissar, A.V.4
  • 23
    • 33947725946 scopus 로고    scopus 로고
    • Receptor modeling of ambient particulate matter data using positive matrix factorization: Review of existing methods
    • Reff, A., Eberly, S. I., and Bhave, P. V.: Receptor modeling of ambient particulate matter data using positive matrix factorization: review of existing methods, J. Air Waste Manage. Assoc., 57, 146-154, 2007. (Pubitemid 46668264)
    • (2007) Journal of the Air and Waste Management Association , vol.57 , Issue.2 , pp. 146-154
    • Reff, A.1    Eberly, S.I.2    Bhave, P.V.3
  • 24
    • 0034800886 scopus 로고    scopus 로고
    • Calculation of maximum and minimum band boundaries of feasible solutions for species profiles obtained by multivariate curve resolution
    • DOI 10.1002/cem.654
    • Tauler, R.: Calculation of maximum and minimum band boundaries of feasible solutions for species profiles obtained by multivariate curve resolution, J. Chemometrics, 15, 627-646, 2001. (Pubitemid 32899689)
    • (2001) Journal of Chemometrics , vol.15 , Issue.8 , pp. 627-646
    • Tauler, R.1
  • 25
    • 70350785665 scopus 로고    scopus 로고
    • Interpretation of organic components from Positive Matrix Factorization of aerosol mass spectrometric data
    • doi:10.5194/acp-9-2891-2009
    • Ulbrich, I. M., Canagaratna, M. R., Zhang, Q., Worsnop, D. R., and Jimenez, J. L.: Interpretation of organic components from Positive Matrix Factorization of aerosol mass spectrometric data, Atmos. Chem. Phys., 9, 2891-2918, doi:10.5194/acp-9-2891-2009, 2009.
    • (2009) Atmos. Chem. Phys , Issue.9 , pp. 2891-2918
    • Ulbrich, I.M.1    Canagaratna, M.R.2    Zhang, Q.3    Worsnop, D.R.4    Jimenez, J.L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.