Luce's Challenge: Quantitative Models and Statistical Methodology

"Many decision theories are formulated in terms of logical, algebraic statements that are deterministic, in the sense that they do not model a decision process via random variables. Empirical data, on the other hand, are intrinsically outcomes of random variables. Thus, there exists a conceptual and mathematical gap between deterministic decision theories and the empirical data used to test those theories. This body of work attempts to resolve this ""gap"" between deterministic models of decision making and the data collected to test them. I provide general methodologies to transform deterministic theories into probabilistic ones as well as develop general statistical methodologies to test these new, suitably transformed, decision theories. Under this framework, I examine the axiom of transitivity and the non-compensatory lexicographic semiorder model in detail."

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Psychology

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Stober, Clintin P.

Contributors dc:contributor

• Regenwetter, Michel

• Psychology, Cognitive

Language dc:language

eng

Identifier

(MiAaPQ)AAI3363096

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/82179