| 書(shū)目名稱(chēng) | Eco-Stats: Data Analysis in Ecology | | 副標(biāo)題 | From t-tests to Mult | | 編輯 | David I Warton | | 視頻video | http://file.papertrans.cn/302/301157/301157.mp4 | | 概述 | Written for biologists with relatively little prior knowledge of statistics.Introduces modern methods of multivariate analysis to ecology as direct extensions of univariate techniques.Discusses a rang | | 叢書(shū)名稱(chēng) | Methods in Statistical Ecology | | 圖書(shū)封面 |  | | 描述 | .This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis...For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions.?It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | linear regression; generalized linear models; model selection; mixed models; bootstrapping; multivariate | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-88443-7 | | isbn_softcover | 978-3-030-88445-1 | | isbn_ebook | 978-3-030-88443-7Series ISSN 2199-319X Series E-ISSN 2199-3203 | | issn_series | 2199-319X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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