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      Biometry for Forestry and Environmental Data: With Examples in R

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      SKU 9781498711487 Categories ,
      Select Guide Rating
      Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest.

      Biometry for Forestry and Environmental ...

      £120.00

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      Description

      Product ID:9781498711487
      Product Form:Hardback
      Country of Manufacture:US
      Series:Chapman & Hall/CRC Applied Environmental Statistics
      Title:Biometry for Forestry and Environmental Data
      Subtitle:With Examples in R
      Authors:Author: Juha Lappi, Lauri Mehtatalo
      Page Count:424
      Subjects:Geochemistry, Geochemistry, Environmental science, engineering and technology, Forestry and silviculture, Environmental science, engineering & technology, Forestry & silviculture: practice & techniques
      Description:Select Guide Rating
      Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest.

      Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest.

      Features:

      ·         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.

      ·         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.

      ·         Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. 

      ·         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.

      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.


      Imprint Name:Chapman & Hall/CRC
      Publisher Name:Taylor & Francis Inc
      Country of Publication:GB
      Publishing Date:2020-07-14

      Additional information

      Weight930 g
      Dimensions184 × 261 × 31 mm