Cause and Correlation in Biology A User's Guide to Path Analysis, Structural Equations and Causal Inference with R
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- Englisch ausgewählt
Fr. 208.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
29.06.2026
Abbildungen
Worked examples or Exercises
Verlag
Cambridge AcademicSeitenzahl
410
Maße (L/B/H)
23.5/15.7/2.7 cm
Gewicht
742 g
Auflage
3 Revised edition
Sprache
Englisch
ISBN
978-1-00-956039-9
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.
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