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Eco-Stats: Data Analysis in Ecology - From t-tests to Multivariate Abundances (Hardcover, 1st ed. 2022)
Loot Price: R3,343
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Eco-Stats: Data Analysis in Ecology - From t-tests to Multivariate Abundances (Hardcover, 1st ed. 2022)
Series: Methods in Statistical Ecology
Expected to ship within 10 - 15 working days
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This book introduces ecologists to the wonderful world of modern
tools for data analysis, especially multivariate analysis. For
biologists with relatively little prior knowledge of statistics, it
introduces a modern, advanced approach to data analysis in an
intuitive and accessible way. The book begins by reviewing some
core principles in statistics, and relates common methods to the
linear model, a general framework for modeling data where the
response is continuous. This is then extended to discrete data
using generalized linear models, to designs with multiple sampling
levels via mixed models, and to situations where there are multiple
response variables via model-based approaches to multivariate
analysis. Along the way there is an introduction to: important
principles in model selection; adaptations of the model to handle
non-linearity and cyclical variables; dependence due to structured
correlation in time, space or phylogeny; and design-based
techniques for inference that can relax some of the modelling
assumptions. It concludes with a range of advanced topics in
model-based multivariate analysis relevant to the modern ecologist,
including fourth corner, latent variable and copula models.
Examples span a variety of applications including environmental
monitoring, species distribution modeling, global-scale surveys of
plant traits, and small field experiments on biological controls.
Math Boxes throughout the book explain some of the core ideas
mathematically for readers who want to delve deeper, and R code is
used throughout. Accompanying code, data, and solutions to
exercises can be found in the ecostats R package on CRAN.
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