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Titlebook: Compositional Data Analysis; CoDaWork, L’Escala, Josep Antoni Martín-Fernández,Santiago Thió-Henest Conference proceedings 2016 Springer I

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21#
發(fā)表于 2025-3-25 03:32:07 | 只看該作者
22#
發(fā)表于 2025-3-25 10:40:19 | 只看該作者
,Die Burgenpolitik der Staufer im Elsa?,s Spectrometry (LA-ICP-MS), specially in the case that the quantities of interest are linear functions of (log)-ratios. These quantities are scale invariant, but in general cannot be estimated without taking into account possible additive noise effects of the instrumentation, incompatible with a pur
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發(fā)表于 2025-3-25 11:49:48 | 只看該作者
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發(fā)表于 2025-3-25 20:08:41 | 只看該作者
Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/c/image/231850.jpg
26#
發(fā)表于 2025-3-26 01:06:06 | 只看該作者
https://doi.org/10.1007/978-3-662-10049-3Using an approach based on the Aitchison geometry of the simplex, a Shifted-Dirichlet covariate model is obtained. Allowing the parameters to change linearly with a set of covariates, their effects on the relative contributions of different components in a composition are assessed. An application of this model to sedimentary petrography is given.
27#
發(fā)表于 2025-3-26 06:14:54 | 只看該作者
A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution,Using an approach based on the Aitchison geometry of the simplex, a Shifted-Dirichlet covariate model is obtained. Allowing the parameters to change linearly with a set of covariates, their effects on the relative contributions of different components in a composition are assessed. An application of this model to sedimentary petrography is given.
28#
發(fā)表于 2025-3-26 10:19:48 | 只看該作者
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