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Environmental Data Analysis

An Introduction with Examples in R

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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

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Publicado en
2021
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