Biometry for Forestry and Environmental Data av Lauri (University of Eastern Finland Joensuu) Mehtatalo, Juha (The Finnish Forest Research Institute S

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<p><strong><em>Biometry for Forestry and Environmental Data with Examples in R</em></strong> focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest.</p><p><strong>Features:</strong></p><p>·         Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R.</p><p>·         Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included.</p><p>·         Necessary statistical theory about random variables, estimation and prediction is included. The wide appli