Models for Non-Modelers

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A01=Goran Djurfeldt
A32=Ola Hall
Age Group_Uncategorized
Age Group_Uncategorized
AI
assessing models
Author_Goran Djurfeldt
automatic-update
Binary Weights Matrix
Category1=Non-Fiction
Category=GPS
Category=JF
Category=JHB
Category=JMA
Category=JMB
Category=PBT
causal inference
causality
causality problem
Climate Models
Continuous Fields Model
COP=United Kingdom
Creative Commons Attribution
critical appraisal of scientific models
data interpretation
deep learning
Delivery_Delivery within 10-20 working days
Energy Balance
environmental statistics
Epidemiological Models
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ESMs
Excess Mortality
GIS Software
Hidden Layers
Hold
John Magufuli
Language_English
Limits to growth
LtG Model
MCMC
MERS
Minimize Transportation Time
models
models for non-modelers
models using R
Numerical Weather Prediction
PA=Available
Price_€20 to €50
Proper Weighting Function
PS=Active
quantitative research methods
R
Radiative Forcing
Reduced Form Model
S Box
Self-driving Car
Sir Model
social science analytics
softlaunch
Soil Scientists
statistical analysis
statistical modelling
systems modelling
UN
understanding models

Product details

  • ISBN 9781032357379
  • Weight: 240g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Sep 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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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.

Göran Djurfeldt is Emeritus Professor, Department of Sociology, Lund University, Sweden. He has had a long career in sociology and development studies and a career-long interest in methodological issues. Djurfeldt has worked with all types of methods, such as historical studies and other qualitative methods, as well as field work in Scandinavia, in South Asia and in sub-Saharan Africa.

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