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Titlebook: Eco-Stats: Data Analysis in Ecology; From t-tests to Mult David I Warton Book 2022 The Editor(s) (if applicable) and The Author(s), under e

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樓主: Washington
31#
發(fā)表于 2025-3-26 21:45:16 | 只看該作者
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發(fā)表于 2025-3-27 04:30:06 | 只看該作者
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發(fā)表于 2025-3-27 06:33:38 | 只看該作者
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發(fā)表于 2025-3-27 09:38:26 | 只看該作者
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發(fā)表于 2025-3-27 14:39:15 | 只看該作者
36#
發(fā)表于 2025-3-27 18:00:05 | 只看該作者
Wiggly ModelsRecall from Sect. . that a “l(fā)inear model” does not need to be linear. Mathematically, we say a model is linear if it is a linear function of its coefficients (“something times .. plus something times ..…”). But if we include non-linear functions of . as predictors, we can use this framework to fit a non-linear function of . to data.
37#
發(fā)表于 2025-3-28 01:55:24 | 只看該作者
38#
發(fā)表于 2025-3-28 02:40:59 | 只看該作者
Analysing Discrete Data: The Generalised Linear ModelIn Exercise ., David and Alistair looked at invertebrate epifauna settling on algal beds (seaweed) with different levels of isolation (0, 2, or 10 m buffer) from each other, at two sampling times (5 and 10 weeks). They observed the following . (+?). (?) patterns for crabs (across 10 replicates).
39#
發(fā)表于 2025-3-28 06:58:01 | 只看該作者
More Than One Response Variable: Multivariate AnalysisRecall that the type of regression model you use is determined mostly by the properties of the .. Well what if you have more than one response variable?
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發(fā)表于 2025-3-28 13:58:59 | 只看該作者
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