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A comprehensive and practical guide to analysing ecological data based on courses given to researchers, environmental consultants and post graduate students.Provides comprehensive introductory chapters together with 17 detailed case study chapters written jointly with former course attendants.Each case study explores the statistical options most appropriate to the ecological questions being asked and will help the reader choose the best approach to analysing their own data.A non-mathematical, but modern approach (GLM, GAM, mixed models, tree models, neural networks) is used throughout the book, making it ideally suited to practicing ecologists and environmental scientists as well as professional statisticians.All data sets from the case studies are available for downloading from www.highstat.com

Ecology --- 57.087.1 --- 574.08 --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- Statistical methods --- Ecological techniques. Experimental methods. Equipment --- Statistics. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Statistical methods. --- Environmental Sciences and Forestry. Ecology -- Ecology (General). --- ecology --- data collection --- Data analysis --- Ecologie --- Méthodes statistiques --- EPUB-LIV-FT LIVBIOLO SPRINGER-B --- Ecology - Statistical methods --- Écologie. --- Méthodes statistiques --- Écologie.