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9780486453156

Foundations of Measurement Volume II Geometrical, Threshold, and Probabilistic Representations

by ; ; ;
  • ISBN13:

    9780486453156

  • ISBN10:

    0486453154

  • Format: Paperback
  • Copyright: 2006-12-15
  • Publisher: Dover Publications

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Summary

This classic series in the field of quantitative measurement established the formal foundations for measurement, justifying the assignment of numbers to objects in terms of their structural correspondence.Volume iintroduces the distinct mathematical results that serve to formulate numerical representations of qualitative structures.Volume iiextends the subject in the direction of geometrical, threshold, and probabilistic representations, andVolume iiiexamines representation as expressed in axiomatization and invariance. 1989 edition.

Author Biography

David H. Krantz is affiliated with Columbia University; R. Duncan Luce with the University of California, Irvine, and Patrick Suppes with Stanford University. Amos Tversky is deceased.

Table of Contents

Preface xiii
Acknowledgments xv
Overview
Geometry Unit
1(8)
Geometrical Representations (Chapter 12)
3(1)
Axiomatic Synthetic Geometry (Chapter 13)
4(3)
Proximity Measurement (Chapter 14)
7(2)
Color and Force Measurement (Chapter 15)
9(1)
Threshold and Error Unit
9(4)
Representations with Thresholds (Chapter 16)
10(1)
Representations of Choice Probabilities (Chapter 17)
11(2)
Geometrical Representations
Introduction
13(1)
Vector Representations
14(37)
Vector Spaces
16(5)
Analytic Affine Geometry
21(3)
Analytic Projective Geometry
24(7)
Analytic Euclidean Geometry
31(4)
Meaningfulness in Analytic Geometry
35(7)
Minkowski Geometry
42(4)
General Projective Metrics
46(5)
Metric Representations
51(29)
General Metrics with Geodesies
52(5)
Elementary Spaces and the Helmholtz--Lie Problem
57(2)
Riemannian Metrics
59(12)
Other Metrics
71(6)
Exercises
77(3)
Axiomatic Geometry and Applications
Introduction
80(3)
Order on the Line
83(6)
Betweenness: Affine Order
83(2)
Separation: Projective Order
85(4)
Proofs
89(4)
Projective Planes
93(9)
Projective Spaces
102(2)
Affine and Absolute Spaces
104(10)
Ordered Geometric Spaces
105(2)
Affine Spaces
107(2)
Absolute Spaces
109(1)
Euclidean Spaces
110(1)
Hyperbolic Spaces
111(3)
Elliptic Spaces
114(4)
Double Elliptic Spaces
115(2)
Single Elliptic Spaces
117(1)
Classical Space-Time
118(3)
Space-Time of Special Relativity
121(10)
Other Axiomatic Approaches
127(4)
Perceptual Spaces
131(28)
Historical Survey through the Nineteenth Century
131(3)
General Considerations Concerning Perceptual Spaces
134(4)
Experimental Work before Luneburg's Theory
138(1)
Luneburg Theory of Binocular Vision
139(6)
Experiments Relevant to Luneburg's Theory
145(5)
Other Studies
150(3)
Exercises
153(6)
Proximity Measurement
Introduction
159(4)
Metrics with Additive Segments
163(6)
Collinearity
163(2)
Constructive Methods
165(3)
Representation and Uniqueness Theorems
168(1)
Proofs
169(6)
Theorem 2
169(1)
Reduction to Extensive Measurement
170(1)
Theorem 3
171(1)
Theorem 4
172(3)
Multidimensional Representations
175(13)
Decomposability
178(1)
Intradimensional Subtractivity
179(2)
Interdimensional Additivity
181(3)
The Additive-Difference Model
184(1)
Additive-Difference Metrics
185(3)
Proofs
188(12)
Theorem 5
188(1)
Theorem 6
189(2)
Theorem 7
191(1)
Theorem 9
192(2)
Preliminary Lemma
194(3)
Theorem 10
197(3)
Experimental Tests of Multidimensional Representations
200(7)
Relative Curvature
201(1)
Translation Invariance
202(3)
The Triangle Inequality
205(2)
Feature Representations
207(15)
The Contrast Model
209(6)
Empirical Applications
215(3)
Comparing Alternative Representations
218(4)
Proofs
222(4)
Theorem 11
222(2)
Exercises
224(2)
Color and Force Measurement
Introduction
226(3)
Grassmann Structures
229(8)
Formulation of the Axioms
229(5)
Representation and Uniqueness Theorems
234(1)
Discussion of Proofs of Theorems 3 and 4
235(2)
Proofs
237(3)
Theorem 3
237(2)
Theorem 4
239(1)
Color Interpretations
240(15)
Metameric Color Matching
240(3)
Tristimulus Colorimetry
243(7)
Four Ways to Misunderstand Color Measurement
250(2)
Asymmetric Color Matching
252(3)
The Dimensional Structure of Color and Force
255(16)
Color Codes and Metamer Codes
256(4)
Photopigments
260(3)
Force Measurement and Dynamical Theory
263(5)
Color Theory in a Measurement Framework
268(3)
The Konig and Hurvich-Jameson Color Theories
271(20)
Representations of 2-Chromatic Reduction Structures
271(6)
The Konig Theory and Alternatives
277(2)
Codes Based on Color Attributes
279(1)
The Cancellation Procedure
280(3)
Representation and Uniqueness Theorems
283(3)
Tests and Extensions of Quantitative Opponent-Colors Theory
286(5)
Proofs
291(8)
Theorem 6
291(3)
Theorem 9
294(1)
Theorem 10
295(1)
Exercises
296(3)
Representations with Thresholds
Introduction
299(4)
Three Approaches to Nontransitive Data
300(1)
Idea of Thresholds
301(1)
Overview
302(1)
Ordinal Theory
303(23)
Upper, Lower, and Two-Sided Thresholds
304(2)
Induced Quasiorders: Interval Orders and Semiorders
306(5)
Compatible Relations
311(2)
Biorders: A Generalization of Interval Orders
313(1)
Tight Representations
314(4)
Constant-Threshold Representations
318(4)
Interval and Indifference Graphs
322(4)
Proofs
326(5)
Theorem 2
326(1)
Lemma 1
326(1)
Theorem 6
327(1)
Theorem 9
327(1)
Theorem 10
328(1)
Theorem 11
329(1)
Theorems 14 and 15
330(1)
Ordinal Theory for Families of Orders
331(10)
Finite Families of Interval Orders and Semiorders
332(4)
Order Relations Induced by Binary Probabilities
336(3)
Dimension of Partial Orders
339(2)
Proofs
341(3)
Theorem 16
341(1)
Theorem 17
342(1)
Theorem 18
343(1)
Theorem 19
344(1)
Semiordered Additive Structures
344(10)
Possible Approaches to Semiordered Probability Structures
345(4)
Probability with Approximate Standard Families
349(3)
Axiomatization of Semiordered Probability Structures
352(1)
Weber's Law and Semiorders
353(1)
Proof of Theorem 24
354(5)
Random-Variable Representations
359(24)
Weak Representations of Additive Conjoint and Extensive Structures
364(2)
Variability as Measured by Moments
366(2)
Qualitative Primitives for Moments
368(3)
Axiom System for Qualitative Moments
371(3)
Representation Theorem and Proof
374(5)
Exercises
379(4)
Representation of Choice Probabilities
Introduction
383(5)
Empirical Interpretations
384(1)
Probabilistic Representations
385(3)
Ordinal Representations for Pair Comparisons
388(13)
Stochastic Transitivity
388(2)
Difference Structures
390(1)
Local Difference Structures
391(2)
Additive Difference Structures
393(4)
Intransitive Preferences
397(4)
Proofs
401(9)
Theorem 2
401(4)
Theorem 3
405(2)
Theorem 4
407(3)
Constant Representations for Multiple Choice
410(9)
Simple Scalability
410(3)
The Strict-Utility Model
413(6)
Proofs
419(2)
Theorem 5
419(1)
Theorem 7
420(1)
Random Variable Representations
421(11)
The Random-Utility Model
421(3)
The Independent Double-Exponential Model
424(3)
Error Tradeoff
427(5)
Proofs
432(4)
Theorem 9
432(1)
Theorem 12
433(2)
Theorem 13
435(1)
Markovian Elimination Processes
436(14)
The General Model
436(1)
Elimination by Aspects
437(7)
Preference Trees
444(6)
Proofs
450(7)
Theorem 15
450(2)
Theorem 16
452(3)
Theorem 17
455(2)
Exercises
457(2)
References 459(22)
Author Index 481(6)
Subject Index 487

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