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- 284pages
- 10 heures de lecture
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Focusing on environmental science, this introductory statistics textbook emphasizes the Generalized Linear Model and maximum likelihood approaches, treating analyses as regression problems. It introduces statistical distributions early, guiding readers to apply suitable models for often non-normally distributed environmental data. Each statistical chapter is complemented by an R-based how-to section, facilitating practical application and reinforcing theoretical concepts. The content has been refined through years of teaching at the University of Freiburg, ensuring its relevance and effectiveness in real-world contexts.
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Environmental Data Analysis, Carsten Dormann
- Langue
- Année de publication
- 2020
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- (rigide)
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- Sous-titre
- An Introduction with Examples in R
- Langue
- Anglais
- Auteurs
- Carsten Dormann
- Publié
- 2020
- Format
- rigide
- Pages
- 284
- ISBN13
- 9783030550196
- Séries
- Mots clés
- Nonfiction, Loisirs et maison, Science et Mathématiques, La nature, Mathématiques, Thématique écologique, Écologie, Jardinage & Horticulture
- Description
- Focusing on environmental science, this introductory statistics textbook emphasizes the Generalized Linear Model and maximum likelihood approaches, treating analyses as regression problems. It introduces statistical distributions early, guiding readers to apply suitable models for often non-normally distributed environmental data. Each statistical chapter is complemented by an R-based how-to section, facilitating practical application and reinforcing theoretical concepts. The content has been refined through years of teaching at the University of Freiburg, ensuring its relevance and effectiveness in real-world contexts.