Biometry for Forestry and Environmental Data

<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 applicability of the linear prediction theory is emphasized. </p><p>· The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org.</p><p>The book is aimed at students and researchers in forestry and environmental studies but it will also be of interest to statisticians and researchers in other fields as well.</p>