A new technique for maximum-likelihood canonical Gaussian ordination
Ecological Monographs
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sg-nus-scholar.10635-1296802016-12-28T19:21:14Z A new technique for maximum-likelihood canonical Gaussian ordination Yee, T.W. STATISTICS & APPLIED PROBABILITY Canonical correspondence analysis Canonical Gaussian ordination Direct gradient analysis Iteratively reweighted least squares Latent variables Maximum-likelihood estimation Ordination Quadratic reduced-rank vector generalized linear models Ecological Monographs 74 4 685-701 ECMOA 2016-11-08T08:25:19Z 2016-11-08T08:25:19Z 2004-11 Article Yee, T.W. (2004-11). A new technique for maximum-likelihood canonical Gaussian ordination. Ecological Monographs 74 (4) : 685-701. ScholarBank@NUS Repository. 00129615 http://scholarbank.nus.edu.sg/handle/10635/129680 NOT_IN_WOS Scopus |
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Canonical correspondence analysis Canonical Gaussian ordination Direct gradient analysis Iteratively reweighted least squares Latent variables Maximum-likelihood estimation Ordination Quadratic reduced-rank vector generalized linear models |
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Canonical correspondence analysis Canonical Gaussian ordination Direct gradient analysis Iteratively reweighted least squares Latent variables Maximum-likelihood estimation Ordination Quadratic reduced-rank vector generalized linear models Yee, T.W. A new technique for maximum-likelihood canonical Gaussian ordination |
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Ecological Monographs |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Yee, T.W. |
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Article |
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Yee, T.W. |
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Yee, T.W. |
title |
A new technique for maximum-likelihood canonical Gaussian ordination |
title_short |
A new technique for maximum-likelihood canonical Gaussian ordination |
title_full |
A new technique for maximum-likelihood canonical Gaussian ordination |
title_fullStr |
A new technique for maximum-likelihood canonical Gaussian ordination |
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A new technique for maximum-likelihood canonical Gaussian ordination |
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new technique for maximum-likelihood canonical gaussian ordination |
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2016 |
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http://scholarbank.nus.edu.sg/handle/10635/129680 |
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