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- 284 pages
- 10 hours of reading
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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
- Language
- Released
- 2021
- Binding
- (Paperback)
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- Title
- Environmental Data Analysis
- Subtitle
- An Introduction with Examples in R
- Language
- English
- Authors
- Carsten Dormann
- Publisher
- Springer International Publishing
- Released
- 2021
- Format
- Paperback
- Pages
- 284
- ISBN13
- 9783030550226
- Series
- Categories
- Tags
- Non-Fiction, Hobby, Science & Math, Nature, Mathematics, Environmental Themes, Ecology, Gardening & Landscaping
- 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.