Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure
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DOI: 10.1002/env.2753
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References listed on IDEAS
- Trendafilov, Nickolay T., 2010. "Stepwise estimation of common principal components," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3446-3457, December.
- Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
- W. J. Krzanowski, 1984. "Principal Component Analysis in the Presence of Group Structure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 33(2), pages 164-168, June.
- E. Andrés Houseman, 2005. "A robust regression model for a first‐order autoregressive time series with unequal spacing: application to water monitoring," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(4), pages 769-780, August.
- Carl Eckart & Gale Young, 1936. "The approximation of one matrix by another of lower rank," Psychometrika, Springer;The Psychometric Society, vol. 1(3), pages 211-218, September.
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