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- 284pages
- 10 heures de lecture
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Focusing on maximum likelihood approaches, this introductory statistics textbook for environmental science emphasizes the Generalized Linear Model and its application to non-normally distributed data. Early chapters introduce key statistical distributions, while subsequent R-based how-to sections provide practical application and theory reinforcement. This structure supports a gradual learning curve, making complex concepts more accessible. Developed through years of teaching experience at the University of Freiburg, it lays a solid foundation for further study in parametric statistics within the environmental sciences.
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Environmental Data Analysis, Carsten Dormann
- Langue
- Année de publication
- 2021
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- Sous-titre
- An Introduction with Examples in R
- Langue
- Anglais
- Auteurs
- Carsten Dormann
- Publié
- 2021
- Format
- souple
- Pages
- 284
- ISBN13
- 9783030550226
- Séries
- Mots clés
- Nonfiction, Loisirs et maison, Science et Mathématiques, La nature, Mathématiques, Thématique écologique, Écologie, Jardinage & Horticulture
- Description
- Focusing on maximum likelihood approaches, this introductory statistics textbook for environmental science emphasizes the Generalized Linear Model and its application to non-normally distributed data. Early chapters introduce key statistical distributions, while subsequent R-based how-to sections provide practical application and theory reinforcement. This structure supports a gradual learning curve, making complex concepts more accessible. Developed through years of teaching experience at the University of Freiburg, it lays a solid foundation for further study in parametric statistics within the environmental sciences.