UID:
almahu_9949598797002882
Format:
1 online resource
ISBN:
9781000922714
,
1000922715
,
9781003328261
,
1003328261
,
9781000922752
,
1000922758
Content:
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.
Additional Edition:
Print version: ISBN 9781000922752
Additional Edition:
Print version: ISBN 1032357371
Additional Edition:
ISBN 9781032357379
Additional Edition:
ISBN 9781032357355
Additional Edition:
ISBN 1032357355
Language:
English
Keywords:
Electronic books.
DOI:
10.4324/9781003328261
URL:
https://www.taylorfrancis.com/books/9781003328261
