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Statistical Methods for Trend Detection and Analysis - In the Environmental Sciences (Hardcover)
Loot Price: R3,102
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Statistical Methods for Trend Detection and Analysis - In the Environmental Sciences (Hardcover)
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The need to understand and quantify change is fundamental
throughout the environmental sciences. This might involve
describing past variation, understanding the mechanisms underlying
observed changes, making projections of possible future change, or
monitoring the effect of intervening in some environmental system.
This book provides an overview of modern statistical techniques
that may be relevant in problems of this nature. Practitioners
studying environmental change will be familiar with many classical
statistical procedures for the detection and estimation of trends.
However, the ever increasing capacity to collect and process vast
amounts of environmental information has led to growing awareness
that such procedures are limited in the insights that they can
deliver. At the same time, significant developments in statistical
methodology have often been widely dispersed in the statistical
literature and have therefore received limited exposure in the
environmental science community. This book aims to provide a
thorough but accessible review of these developments. It is split
into two parts: the first provides an introduction to this area and
the second part presents a collection of case studies illustrating
the practical application of modern statistical approaches to the
analysis of trends in real studies. Key Features: * Presents a
thorough introduction to the practical application and methodology
of trend analysis in environmental science. * Explores
non-parametric estimation and testing as well as parametric
techniques. * Methods are illustrated using case studies from a
variety of environmental application areas. * Looks at trends in
all aspects of a process including mean, percentiles and extremes.
* Supported by an accompanying website featuring datasets and R
code. The book is designed to be accessible to readers with some
basic statistical training, but also contains sufficient detail to
serve as a reference for practising statisticians. It will
therefore be of use to postgraduate students and researchers both
in the environmental sciences and in statistics.
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