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| Artikel-Nr.: 5667A-9783031139734 Herst.-Nr.: 9783031139734 EAN/GTIN: 9783031139734 |
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| It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty. Weitere Informationen: | | Author: | Andriëtte Bekker; Johannes T. Ferreira; Mohammad Arashi; Ding-Geng Chen | Verlag: | Springer International Publishing | Sprache: | eng |
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| Weitere Suchbegriffe: Bayesian Network, Bayesian Inference, Data-driven Science, Modeling and Theory Building, Matrix Theory, Multivariate Analysis, regression, compositional data, high dimensional modeling, mixture modeling |
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