Models for Non-Modelers focuses not on how to design models but on how
to understand and critically appraise them. Data and statistical
models are widely used in disciplines such as epidemiology, climate
science and systems design, but it can be difficult for those without
the necessary training to understand and implement them. This book is
for non-modelers, especially social scientists. Through extensive
examination of some common models both in visual and text form, this
book shows these non-modellers how to understand the problems, both in
the logic and implementation of such models. It includes in-depth
worked examples and boxed text for more technical aspects. It does not
require the reader to have in-depth mathematical knowledge. Also
working through some common models in epidemiology and climate change
scholarship, it examines AI and the problem of causality. This book
will be suitable for graduate students and researchers in the social
sciences who would like to learn more about how to assess models and
the steps they need to take to apply them in their own research, as
well as for those taking first courses in quantitative methods and
statistical analysis for research data analysis.
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Produktdetaljer
ISBN
9781000922752
Publisert
2023
Utgave
1. utgave
Utgiver
Vendor
Routledge
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter