Measurement Theory: Volume 7
With Applications to Decisionmaking, Utility, and the Social Sciences
1st Edition
Published on 11. May 2012
444 pages
978-1-139-24204-2 (ISBN)
Description
This book provides an introduction to measurement theory for non-specialists and puts measurement in the social and behavioural sciences on a firm mathematical foundation. Results are applied to such topics as measurement of utility, psychophysical scaling and decision-making about pollution, energy, transportation and health. The results and questions presented should be of interest to both students and practising mathematicians since the author sets forth an area of mathematics unfamiliar to most mathematicians, but which has many potentially significant applications.
Reviews / Votes
Review of the hardback: '... superbly well done, and that it should serve handsomely as the introduction to the theory of measurement for many years to come.' Bulletin of the American Mathematical Society '... can be used as a textbook for mathematicians who are interested in applications of algebraic functions theory.' Zentralblatt MATHMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
File size
19595,29 MB
ISBN-13
978-1-139-24204-2 (9781139242042)
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Schweitzer Classification
Other editions
Additional editions
Fred S. Roberts
Measurement Theory: Volume 7
With Applications to Decisionmaking, Utility, and the Social Sciences
Book
03/2009
Cambridge University Press
€104.00
Shipment within 15-20 days
Fred S. Roberts
Measurement Theory: Volume 7
With Applications to Decisionmaking, Utility, and the Social Sciences
Book
12/1984
Cambridge University Press
€49.60
Article exhausted; check for reprint
Content
Introduction; 1. Relations; 2. Fundamental Measurement, Derived Measurement, and the Uniqueness Problem; 3. Three Representation Problems: Ordinal, Extensive, and Difference Measurement; 4. Applications to Psychophysical Scaling; 5. Project Structures; 6. Nontransitive Indifference, Probabilistic Consistency, and Measurement without Numbers; 7. Decisionmaking under Risk or Uncertainty; 8. Subjective Probability.
