Chaos and Catastrophe Theories

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A01=Courtney M. Brown
Author_Courtney M. Brown
Category=JHBA
Category=PBWS
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eq_nobargain
eq_non-fiction
eq_society-politics
green book
green books
little green book
little green books
QASS
Quantitative Applications in the Social Sciences
Quantitative/Statistical Research
QuantitativeStatistical Research

Product details

  • ISBN 9780803958470
  • Weight: 130g
  • Dimensions: 139 x 215mm
  • Publication Date: 23 Aug 1995
  • Publisher: SAGE Publications Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Chaos and catastrophe theories have become one of the major frontiers in the social sciences. Brown helps to clarify this complex new technique for modeling by approaching it with the following questions: What is Chaos? How can it be measured? How are the models estimated? What is catastrophe? How is it modeled? Beginning with an explanation of the differences between deterministic and probabilistic models, Brown introduces the reader to chaotic dynamics. Other topics covered are finding settings in which chaos can be measured, estimating chaos using nonlinear least squares, and specifying catastrophe models. Finally, the author estimates a nonlinear system of equations that models catastrophe using real survey data. Researchers wanting to understand and make use of this exciting new direction in social measurement and modeling will find this book an excellent and cogent introduction.

Courtney Brown is an Associate Professor in the Department of Political Science at Emory University.  Dr. Brown has taught differential equation modeling to graduate and undergraduate students for over 20 years.  His teaching and research interests also include other quantitative methods, political musicology, science fiction and politics, electoral behavior, political parties, democratic development, and politics and the environment.  He has authored five books that deal with differential equation models in the social sciences, including three titles for the Quantitative Applications in the Social Sciences series.

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