Biometry for Forestry and Environmental Data

Name: Biometry for Forestry and Environmental Data
Brand: Taylor & Francis Inc
SKU: 9781498711487
Price: 182.3 EUR
Availability: InStock

Автор: Mehtatalo, Lauri (University of Eastern Finland, Joensuu), Lappi, Juha (The Finnish Forest Reseach Institute, Suonenjoki, Finland)

Език:

Корици: С твърди корици

Издател: Taylor & Francis Inc

Наличност: Външен склад

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182.30 € 356.55 лв

Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that...

Информация за книгата

Автор

Mehtatalo, Lauri (University of Eastern Finland, Joensuu), Lappi, Juha (The Finnish Forest Reseach Institute, Suonenjoki, Finland)

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2020

страници

412

EAN

9781498711487

ISBN

1498711480

Enbook ID

21958676

Издател

Taylor & Francis Inc

Теглоt

954

Размери

261 x 184 x 31

Пълно описание

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.

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