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The relationship between Luce's Choice Axiom, Thurstone's Theory of Comparative Judgment, and the double exponential distribution

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Holman and Marley as discussed by the authors showed that for pair comparisons, this representation is not unique; other discriminal process distributions (specifiable only in terms of their characteristic functions) also yield a model equivalent to the Choice Axiom.
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This article is published in Journal of Mathematical Psychology.The article was published on 1977-04-01 and is currently open access. It has received 418 citations till now. The article focuses on the topics: Axiom of choice & Choice function.

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A logit model of brand choice calibrated on scanner data

TL;DR: A multinomial logit model of brand choice, calibrated on 32 weeks of purchases of regular ground coffee by 100 households, shows high statistical significance for the explanatory variables of brand loyalty, size loyalty, presence/absence of store promotion, regular shelf price and promotional price cut as discussed by the authors.
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Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data:

TL;DR: In this paper, the authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocation.
Journal Article

A Logit Model of Brand Choice Calibrated on Scanner Data (Логистическая модель выбора бренда, откалиброванная на панельных данных сканированных штрих-кодов покупок)

TL;DR: It is revealed that the model used in this competition is the multinomial logit model, which is based on the Humboldtian model.
Proceedings Article

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

TL;DR: The Concrete distribution as mentioned in this paper is a new family of distributions with closed form densities and a simple reparameterization, which enables optimizing large scale stochastic computation graphs via gradient descent.
References
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A Course of Modern Analysis

TL;DR: The volume now gives a somewhat exhaustive account of the various ramifications of the subject, which are set out in an attractive manner and should become indispensable, not only as a textbook for advanced students, but as a work of reference to those whose aim is to extend the knowledge of analysis.
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A law of comparative judgment

TL;DR: The law of comparative judgment as mentioned in this paper is applicable not only to the comparison of physical stimulus intensities but also to qualitative comparative judgments such as those of excellence of specimens in an educational scale.
Frequently Asked Questions (7)
Q1. What is the YF invariant under uniform expansions?

Since the random variable Max{Xi, ) m = 1 ,..., A} has distribution function F”(x), (35) can be written as(36)Now the model YF is invariant under uniform expansions iff the integrals in (34) and (36) are equal for every choice of scale values {uJ and every integer k. 

As a solution to their uniqueness problem, Theorem 3 is incomplete, because it leaves open the question of whether two models FF and Fn can be equivalent for complete experiments with a finite number of objects when F and G are distributions of different types. 

The result of a complete choice experiment with tl objects is a set of the formcontaining 2” - (n + 1) discrete probability distributions; one for each subset of two or more objects. 

(Recall that a distribution is infinitely divisible if, for every n, it is the distribution of the sum of n i.i.d. random variables. 

113Now if Thurstone had, for some reason, decided on the double exponential distribution instead of the normal, he would in effect have discovered the Choice Axiom. 

A set of this form will be called a complete system of choice probabilities for n objects, and be denoted by (p,/C,}.Convention: Choice probabilities can nmer be zero OY one. 

A complete system of choice probabilities {pJC,> satisfies the Case E’ model T(p, 02, r) iff there exist numbers (scale vahes) ur , u2 ,..., U, such that foreveryiandS,iESCC,,ps(i) = P[u, + Xi = Max{r+ + Xi 1 j E S}], (6)where X, , X, ,..., X, are normally distributed random variables with common mean CL, common variance u2, and Cov(X, , Xj) = ruz for all i and j, i # j.