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Basics and Trends in Sensitivity Analysis - Theory and Practice in R (Paperback)
Loot Price: R2,583
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Basics and Trends in Sensitivity Analysis - Theory and Practice in R (Paperback)
Series: Computational Science and Engineering
Expected to ship within 12 - 17 working days
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This book provides an overview of global sensitivity analysis
methods and algorithms, including their theoretical basis and
mathematical properties. The authors use a practical point of view
and real case studies as well as numerous examples, and
applications of the different approaches are illustrated throughout
using R code to explain their usage and usefulness in practice.
Basics and Trends in Sensitivity Analysis: Theory and Practice in R
covers a lot of material, including theoretical aspects of Sobol'
indices as well as sampling-based formulas, spectral methods, and
metamodel-based approaches for estimation purposes; screening
techniques devoted to identifying influential and noninfluential
inputs; variance-based measures when model inputs are statistically
dependent (and several other approaches that go beyond
variance-based sensitivity measures); and a case study in R related
to a COVID-19 epidemic model where the full workflow of sensitivity
analysis combining several techniques is presented. This book is
intended for engineers, researchers, and undergraduate students who
use complex numerical models and have an interest in sensitivity
analysis techniques and is appropriate for anyone with a solid
mathematical background in basic statistical and probability
theories who develops and uses numerical models in all scientific
and engineering domains.
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