£96.00

CRC Press Biometry for Forestry and Environmental Data in R

Name: CRC Press Biometry for Forestry and Environmental Data in R
Brand: CRC Press
Price: 96.0 GBP
Availability: InStock

Chemistry

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Description

Master statistical methods for ecological research with Biometry for Forestry and Environmental Data: With Examples in R. Published by CRC Press as part of the Chapman and Hall/CRC Applied Environmental Statistics series, this book provides a comprehensive guide for students and professionals working in forestry and environmental sciences. The text offers a rigorous yet accessible approach to complex statistical concepts. It covers essential models including linear, nonlinear, generalized linear, and multivariate models, as well as their mixed-effects counterparts. By using R for practical examples, the book bridges the gap between theoretical statistics and real-world application. Readers can learn to apply these methods to specific biological phenomena, such as tree size, tree taper, and measurement data. Whether you are focusing on forestry or broader environmental studies, this resource provides the statistical foundation needed to analyze data effectively and interpret environmental patterns with precision.

Key Features

Learn statistical theory and practical applications through real-world forestry and environmental data examples using R.

Gain a clear understanding of linear, nonlinear, generalized linear, and multivariate models through an accessible presentation.

Explore advanced statistical techniques including mixed-effects models for more complex data structures.

Apply statistical concepts to specific biological studies such as tree size and tree taper measurements.

Access professional-grade material from the Chapman and Hall/CRC Applied Environmental Statistics series.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1498711480
Category: Books > Subjects > Science, Nature & Maths > Chemistry
Domain: Amazon UK
Release Date: 14 July 2020
Listed Since: 01 May 2018

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CRC Press Biometry for Forestry and Environmental Data in R

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