stress-test 发表于 2025-3-25 04:11:09
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Shigeyuki Sato,Wei Hao,Kiminori Matsuzakixa at a number of stratigraphic levels. In a similar way, studies of natural communities often lead to estimates of the density of different animal species in a variety of plant communities. The data in such cases are conveniently organized in the form of a 2-way array or table. We may then enquireHdl348 发表于 2025-3-25 12:54:29
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T,K,: The Twitter Top-K Keywords Benchmarkher, it seems justifiable to conclude that canonical analysis offers an unusually versatile structure by means of which statistical theory, ecological theory and empirical data can be harnessed to provide insight into the organization of ecological systems.expdient 发表于 2025-3-25 21:21:58
0067-8821 veral sets of ecological data are described and discussed with this objective in mind. The examples are drawn largely from plant ecology. The position is adopte978-3-642-69880-4978-3-642-69878-1Series ISSN 0067-8821 Series E-ISSN 2197-4160Preserve 发表于 2025-3-26 01:42:37
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Jérôme Darmont,Boris Novikov,Robert Wrembellem. The derivation of canonical correlations and canonical variates will then be taken up. Canonical analysis can be derived in several ways. Two derivations will be described rather fully — those leading to eigenanalysis and singular value decomposition, respectively. Several other derivations are重画只能放弃 发表于 2025-3-26 09:48:41
Jérôme Darmont,Boris Novikov,Robert Wrembeln the 1930s. Since Hotelling’s pioneering studies the theory has been added to in a number of ways. The present chapter deals with developments of this kind. We shall begin by considering several numerical indices which have been devised in order to further the interpretation of results in additionenchant 发表于 2025-3-26 14:28:33
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Shigeyuki Sato,Wei Hao,Kiminori Matsuzakise of obtaining insight into relationships among the classes. Canonical variate analysis was introduced as a special case of canonical analysis in which the data matrix for one of the two sets of variables is specialized so as to account for the partition of a sample. Suppose now that we have a samp