A stochastic model for individual choice behavior.

1960 ◽  
Vol 67 (1) ◽  
pp. 1-15 ◽  
Author(s):  
R. J. Audley
1982 ◽  
Vol 14 (10) ◽  
pp. 1341-1354 ◽  
Author(s):  
K E Haynes ◽  
F Y Phillips

Mathematical programming and statistical inference are combined in a constrained minimum discrimination information (MDI) method to provide a basis for a wide range of spatial and individual choice behavior problems. This approach offers an alternative to linear and loglinear regression estimation methods as well as probabilistic models of the logit and probit variety. Some logical and computational difficulties inherent in these approaches are resolved. Further, the approach leads endogenously to alternative hypotheses if the null hypothesis is rejected, and hence has implications for the interaction between research that is oriented toward theory construction and applied research that is empirically oriented.


1961 ◽  
Vol 56 (293) ◽  
pp. 172 ◽  
Author(s):  
Patrick Suppes ◽  
R. Duncan Luce

1964 ◽  
Vol 15 (2) ◽  
pp. 627-634
Author(s):  
Eugene Linker ◽  
Bruce M. Ross

The experiment is concerned with individual choice-behavior in resolving discrepancies in a three-choice card game between long-term (a priori) probabilities and immediate outcomes maximally biased by E‘s use of “marked” cards. S's ability to track changes in outcomes was indicated by within-condition card play strategy. Despite S‘s ability to track outcome changes, results show S's choice-behavior is only partially affected by immediate outcomes as maximal bias does not repeal the control exerted by long-term probabilities. The discussion considers the appropriateness of explanations derived from game theory in characterizing choice-behavior. It is suggested that game theory predicts boundary conditions for card play use rather than a normative strategy.


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