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Analysis of Variance --- Statistics --- Analysis of Variance. --- Multivariate analysis --- Analyse multivariée --- 519.237 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- 519.237 Multivariate statistical methods --- Multivariate statistical methods --- Multivariate analysis. --- Statistique bayésienne --- Statistique mathematique --- Analyse multivariee

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Mathematical statistics --- Multivariate analysis --- Multivariate analysis. --- Methoden en technieken --- speciale methoden --- 519.535 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- speciale methoden. --- Speciale methoden.

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Mathematical models --- Models --- computer applications --- data collection --- Data processing --- Statistical methods --- time --- Multivariate analysis. --- Geology --- Analyse multivariée. --- Géostatistique. --- Statistical methods. --- Multivariate analysis --- 55.025 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Geological statistics --- Geostatistics --- Analyse multivariée --- Geology - Statistical methods --- Representation graphique --- Espace --- Methode numerique --- Geostatique

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This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.

Ecology. --- Multivariate analysis. --- Ecology --- Multivariate analysis --- Earth & Environmental Sciences --- Statistical methods --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- 519.237 --- 57.087.1 --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- 519.237 Multivariate statistical methods --- Multivariate statistical methods --- ecology --- biota --- Data analysis --- computer applications --- Statistical methods. --- Ecologie --- Analyse multivariée --- Méthodes statistiques

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Biomathematics. Biometry. Biostatistics --- Plant ecology. Plant sociology --- Mathematical statistics --- 581.55 --- 519.237 --- Botany --- -Multivariate analysis --- Plant ecology --- -#WPLT:dd.Prof.F.Symons --- Plants --- Ecology --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Botanical science --- Phytobiology --- Phytography --- Phytology --- Plant biology --- Plant science --- Biology --- Natural history --- Sociability. Plant associations and associes --- Multivariate statistical methods --- -Statistical methods --- Statistical methods --- MET Methods & Techniques --- methods & techniques --- multivariate analysis --- vegetation --- 519.237 Multivariate statistical methods --- 581.55 Sociability. Plant associations and associes --- Multivariate analysis --- #WPLT:dd.Prof.F.Symons --- Phytoecology --- Vegetation ecology --- Floristic ecology