A guide for biologists describing statistical methods for testing causal hypotheses using R and their application to biological examples.
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Bill Shipley is Associate Professor within the Department of Biology at Université de Sherbrooke, Canada. He is the author of From Plant Traits to Vegetation Structure: Chance and Selection in the Assembly of Ecological Communities (2012) and continues to make significant contributions to statistical methodology in ecology.
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 3rd revised edition edition. 410 pages. 6.00x0.84x9.00 inches. In Stock. Artikel-Nr. x-1009560387
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Anbieter: Speedyhen, Hertfordshire, Vereinigtes Königreich
Zustand: NEW. Artikel-Nr. NW9781009560382
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2026. 3rd Edition. paperback. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9781009560382
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Aimed at practising biologists, especially graduate students and researchers in ecology, this revised and expanded 3rd edition continues to explore cause-effect relationships through a series of robust statistical methods. Every chapter has been updated, and two brand-new chapters cover statistical power, Akaike information criterion statistics and equivalent models, and piecewise structural equation modelling with implicit latent variables. A new R package (pwSEM) is included to assist with the latter. The book offers advanced coverage of essential topics, including d-separation tests and path analysis, and equips biologists with the tools needed to carry out analyses in the open-source R statistical environment. Writing in a conversational style that minimises technical jargon, Shipley offers an accessible text that assumes only a very basic knowledge of introductory statistics, incorporating real-world examples that allow readers to make connections between biological phenomena and the underlying statistical concepts. Artikel-Nr. 9781009560382
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