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Understanding and controlling rotations in factor analytic models
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Research works printed but not linked: 10
- Henry, 1987, Current factor analysis models are ill-posed, Atmos. Environ., 21, 1815, 10.1016/0004-6981(87)90122-3 · DOI
- Currie, 1984, Interlaboratory comparison of source apportionment procedures: results for simulated data sets, Atmos. Environ., 18, 1517, 10.1016/0004-6981(84)90376-7 · doi:10.1016/0004-6981(84)90376-7
- Paatero, 1997, Least squares formulation of robust non-negative factor analysis, Chemom. Intell. Lab. Syst., 37, 23, 10.1016/S0169-7439(96)00044-5 · DOI · Paper page
- Park, 2000, Estimating the number of factors to include a high-dimensional multivariate bilinear model, Commun. Stat.-Simula, 29, 723, 10.1080/03610910008813637 · DOI
- Paatero, 1994, Positive Matrix Factorization: a nonnegative factor model with optimal utilization of error estimates of data values, Environmetrics, 5, 111, 10.1002/env.3170050203 · DOI · Paper page
- Paatero, 1999, The multilinear engine—a table-driven least squares program for solving multilinear problems, including the n-way parallel factor analysis model, J. Comput. Graphical Stat., 8, 854, 10.2307/1390831 · DOI · Paper page
- Lee, 1999, Application of Positive Matrix Factorization in source apportionment of particulate pollutants in Hong Kong, Atmos. Environ., 33, 3201, 10.1016/S1352-2310(99)00113-2 · DOI · Paper page
- Cooper, 1984, The effective variance weighting for least squares calculations applied to the mass balance receptor model, Atmos. Environ., 18, 1347, 10.1016/0004-6981(84)90043-X · DOI · Paper page
- Hopke, 1988, Target Transformation Factor Analysis as an aerosol mass apportionment method: a review and sensitivity analysis, Atmos. Environ., 22, 1777, 10.1016/0004-6981(88)90066-2 · doi:10.1016/0004-6981(88)90066-2
- Henry, 1997, Receptor model applied to patterns in space (RMAPS) part I—model description, J. Air Waste Manage. Assoc., 47, 216, 10.1080/10473289.1997.10464425 · doi:10.1080/10473289.1997.10464425
Cited by
Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez, N., & Hopke, P. K. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.02.039 · Cited by 584
Self-citationCrippa, M., Canonaco, F., Lanz, V. A., Äijälä, M., Allan, J. D., Carbone, S., Capes, G., Ceburnis, D., Dall'Osto, M., Day, D. A., et al. (2014) · Atmospheric Chemistry and Physics · doi:10.5194/acp-14-6159-2014 · Cited by 382
Titos, G., Lyamani, H., Pandolfi, M., Alastuey, A., & Alados-Arboledas, L. (2014) · Atmospheric Environment · doi:10.1016/j.atmosenv.2014.03.001 · Cited by 125
Seasonal changes, identification and source apportionment of PAH in PM 1.0
Agudelo-Castañeda, D. M., & Teixeira, E. C. (2014) · Atmospheric Environment · doi:10.1016/j.atmosenv.2014.07.030 · Cited by 124
The Red Sea Deep Water is a potent source of atmospheric ethane and propane
Bourtsoukidis, E., Pozzer, A., Sattler, T., Matthaios, V. N., Ernle, L., Edtbauer, A., Fischer, H., Könemann, T., Osipov, S., Paris, J.-D., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14375-0 · Cited by 59
Metadata
- Authors
- Paatero, P., Hopke, P. K., Song, X.-H., & Ramadan, Z.
- Venue
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Published
- 2002-01
- Volume
- 60
- Issue
- 1-2
- Pages
- 253-264
- ISSN
- 0169-7439 (ISSN-L)
- OpenAlex
- W2085936845
- Cited by
- 422
- References
- 0
- FWCI
- 11.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: Understanding and controlling rotations in factor analytic models. https://app.cochat.ai/papers/10.1016/s0169-7439(01)00200-3
- The paper
- Paatero, P., Hopke, P. K., Song, X.-H., & Ramadan, Z. (2002). Understanding and controlling rotations in factor analytic models. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/s0169-7439(01)00200-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
