Models of stochastic choice and decision theories: why both are important for analyzing decisions
将七种决策理论分别嵌入五种随机选择模型，发现不同组合下决策理论的参数估计和拟合优度排名差异显著，其中Fechner异方差截断误差模型和随机效用模型能显著提升所有理论的拟合效果。
Abstract We select a menu of seven popular decision theories and embed each theory in five models of stochastic choice, including tremble, Fechner and random utility model. We find that the estimated parameters of decision theories differ significantly when theories are combined with different models. Depending on the selected model of stochastic choice we obtain different rankings of decision theories with regard to their goodness of fit to the data. The fit of all analyzed decision theories improves significantly when they are embedded in a Fechner model of heteroscedastic truncated errors or a random utility model. Copyright © 2009 John Wiley & Sons, Ltd.