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Measurement theory with applications to decisionmaking, utility, and the social sciences

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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.

כותר Measurement theory with applications to decisionmaking, utility, and the social sciences / Fred S. Roberts. [electronic resource]
מוציא לאור Cambridge : Cambridge University Press
שנה 1984
הערות Title from publisher's bibliographic system (viewed on 05 Oct 2015).
English
הערת תוכן ותקציר Cover
Half-title
Title
Copyright
Dedication
Contents
Editor's Statement
Section Editor's Foreword
Preface
1. Measurement Theory
2. Other Books on the Subject
3. Use as a Textbook
4. Acknowledgments
References
Measurement Theory
Introduction
1.Measurement
2.The Measurement Literature
3.Decisionmaking
4.Utility
5.Mathematics
6.Organization of the Book
Chapter 1. Relations
1.1 Notation and Terminology
1.2 Definition of a Relation
1.3 Properties of Relations
1.4 Equivalence Relations
1.5 Weak Orders and Simple Orders
1.6 Partial Orders
1.7 Functions and Operations1.8 Relational Systems and the Notion of Reduction
Chapter 2. Fundamental Measurement, Derived Measurement,and the Uniqueness Problem
2.1 The Theory of Fundamental Measurement
2.1.1 Formalization of Measurement
2.1.2 Homomorphisms of Relational Systems
2.1.3 The Representation and Uniqueness Problems
2.2 Regular Scales
2.2.1 Definition of Regularity
2.2.2 Reduction and Regularity
2.3 Scale Type
2.4 Examples of Meaningful and Meaningless Statements
2.5 Derived Measurement
2.6 Some Applications of the Theory of Meaningfulness:Energy Use, Air Pollution, and the Consumer Price Index2.6.1 Energy Use
Arithmetic and Geometric Means
2.6.2 Consumer Price Index
2.6.3 Measurement of Air Pollution
Chapter 3. Three Representation Problems: Ordinal, Extensive,and Difference Measurement
3.1 Ordinal Measurement
3.1.1 Representation Theorem in the Finite Case
3.1.2 The Uniqueness Theorem
3.1.3 The Countable Case
3.1.4 The Birkhoff-Milgram Theorem
3.2 Extensive Measurement
3.2.1 Holder's Theorem
3.2.2 Necessary and Sufficient Conditions for Extensive Measurement3.2.3 Uniqueness
3.2.4 Additivity
3.3 Difference Measurement
3.3.1 Algebraic Difference Structures
3.3.2 Necessary and Sufficient Conditions
3.3.3 Uniqueness
Chapter 4. Applications to Psychophysical Scaling
4.1 The Psychophysical Problem
4.1.1 Loudness
4.1.2 The Psychophysical Function
4.2 The Possible Psychophysical Laws
4.2.1 Excursis: Solution of the Cauchy Equations
4.2.2 Derivation of the Possible Psychophysical Laws
4.3 The Power Law
4.3.1 Magnitude Estimation
4.3.2 Consequences of the Power Law4.3.3 Cross-Modality Matching
4.3.4 Attitude Scaling
4.4 A Measurement Axiomatization for Magnitude Estimation and Cross-Modality Matching
4.4.1 Consistency Conditions
4.4.2 Cross-Modality Ordering
4.4.3 Magnitude Estimation as a Ratio Scale
Chapter 5. Product Structures
5.1 Obtaining a Product Structure
5.2 Calculating Ordinal Utility Functions by Reducing the Dimensionality
5.3 Ordinal Utility Functions over Commodity Bundles
5.4 Conjoint Measurement
5.4.1 Additivity
5.4.2 Conjoint Measurement and the Balance of Trade
5.4.3 The Luce-Tukey Theorem
סדרה Encyclopedia of mathematics and its applications. Section, Mathematics and the social sciences
volume 7
היקף החומר 1 online resource (xxii, 420 pages) : digital, PDF file(s).
שפה אנגלית
מספר מערכת 997010714305505171
תצוגת MARC

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