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Drawing on ecology, economics and social sciences to explore resilience in agriculture, this book provides an interdisciplinary perspective on approaches needed to foster adaptability. It will interest researchers, policy-makers and students seeking to build sustainable farming systems amidst the uncertainties of climate change and market volatility.

This volume puts model formulae-the methodology used to analyze linear statistics-firmly within the grasp of undergraduates for the first time since its initial development in the 1960s. The authors assume a basic knowledge of statistics, up to and including one and two sample t-tests and their non-parametric equivalents. They then introduce the General Linear Model, providing the conceptual framework needed to understand what the method does (using geometrical illustrations rather than mathematical proofs). The ideas are introduced in a simple and steady progression with worked examples and...