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Chaos and catastrophe theories / Courtney Brown.

By: Series: Sage university papers series. Quantitative applications in the social sciences ; ; no. 07-107Publication details: Thousand Oaks, Calif. : Sage Publications, c1995.Description: vi, 77 p. : ill. ; 22 cmISBN:
  • 0803958471 :
Subject(s): LOC classification:
  • Q172.5.C45 B76 1995
Summary: 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.
Holdings
Item type Current library Home library Shelving location Call number Status Date due Barcode
Books Books American University in Dubai American University in Dubai Main Collection Q 172.5 .C45 B76 1995 (Browse shelf(Opens below)) Available 631135

Includes bibliographical references (p. 75-76).

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.

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