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Statistics in Natural Resources - Applications with R (Hardcover) Loot Price: R3,203
Discovery Miles 32 030
Statistics in Natural Resources - Applications with R (Hardcover): Matthew Russell

Statistics in Natural Resources - Applications with R (Hardcover)

Matthew Russell

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Loot Price R3,203 Discovery Miles 32 030 | Repayment Terms: R300 pm x 12*

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Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data. Become competent in importing, analyzing, and visualizing complex data sets in the R environment. Recode, combine, and restructure data sets for statistical analysis and visualization. Appreciate probability concepts as they apply to environmental problems. Understand common distributions used in statistical applications and inference. Summarize data effectively and efficiently for reporting purposes. Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results. Understand which modeling frameworks are appropriate for your data and how to interpret predictions. Includes over 130 exercises in R, with solutions available on the book's website.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Release date: August 2022
First published: 2023
Authors: Matthew Russell
Dimensions: 234 x 156 x 22mm (L x W x T)
Format: Hardcover
Pages: 334
ISBN-13: 978-1-03-225878-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Environmental engineering & technology > General
Books > Professional & Technical > Agriculture & farming > Agricultural science
Books > Business & Economics > Industry & industrial studies > Primary industries > Agriculture & related industries
Books > Science & Mathematics > Biology, life sciences > Botany & plant sciences > General
Books > Earth & environment > Earth sciences > Geology & the lithosphere > Geochemistry
Books > Earth & environment > The environment > Applied ecology > Biodiversity
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LSN: 1-03-225878-0
Barcode: 9781032258782

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