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portada Environmental Data Analysis: An Introduction with Examples in R
Type
Physical Book
Author
Publisher
Language
English
Pages
264
Format
Paperback
Dimensions
27.9x21x1.5 cm
Weight
0.65 kg.
ISBN13
9783030550226
Categories

Environmental Data Analysis: An Introduction with Examples in R

Carsten Dormann (Author) · Springer · Paperback

Environmental Data Analysis: An Introduction with Examples in R - Dormann, Carsten

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Synopsis "Environmental Data Analysis: An Introduction with Examples in R "

Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been "field-tested" in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.

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