Written for biologists and students, this practical guide underlies the principle methods for analysing cause-effect relationships. Featuring extensive sections on the use of R statistical language to apply statistical methods to biological data, this completely revised new edition is a valuable resource for practising biologists.
Written for biologists and students, this practical guide underlies the principle methods for analysing cause-effect relationships. Featuring extensive sections on the use of R statistical language to apply statistical methods to biological data, this completely revised new edition is a valuable resource for practising biologists.
Bill Shipley is a Professor in the Department of Biology at Université de Sherbrooke, Canada. His research interests centre upon plant ecophysiology, functional and community ecology, and statistical modelling. He is the author of From Plant Traits to Vegetation Structure: Chance and Selection in the Assembly of Ecological Communities, published by Cambridge University Press.
Inhaltsangabe
Preface 1. Preliminaries 2. From cause to correlation and back 3. Sewall Wright, path analysis and d-separation 4. Path analysis and maximum likelihood 5. Measurement error and latent variables 6. The structural equations model 7. Multigroup models, multilevel models, and corrections for non-independence of observations 8. Exploration, discovery and equivalence Index.
Preface 1. Preliminaries 2. From cause to correlation and back 3. Sewall Wright, path analysis and d-separation 4. Path analysis and maximum likelihood 5. Measurement error and latent variables 6. The structural equations model 7. Multigroup models, multilevel models, and corrections for non-independence of observations 8. Exploration, discovery and equivalence Index.
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