A Matlab function to estimate choice model parameters from paired-comparison data.

Florian Wickelmaier, Christian Schmid
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引用次数: 148

Abstract

Tversky (1972) has proposed a family of models for paired-comparison data that generalize the Bradley-Terry-Luce (BTL) model and can, therefore, apply to a diversity of situations in which the BTL model is doomed to fail. In this article, we present a Matlab function that makes it easy to specify any of these general models (EBA, Pretree, or BTL) and to estimate their parameters. The program eliminates the time-consuming task of constructing the likelihood function by hand for every single model. The usage of the program is illustrated by several examples. Features of the algorithm are outlined. The purpose of this article is to facilitate the use of probabilistic choice models in the analysis of data resulting from paired comparisons.

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从配对比较数据估计选择模型参数的Matlab函数。
Tversky(1972)提出了一系列配对比较数据模型,这些模型推广了Bradley-Terry-Luce (BTL)模型,因此可以适用于BTL模型注定失败的各种情况。在本文中,我们提供了一个Matlab函数,它可以很容易地指定任何这些通用模型(EBA, Pretree或BTL)并估计它们的参数。该程序消除了为每个模型手工构建似然函数的耗时任务。通过几个例子说明了该程序的用法。概述了该算法的特点。本文的目的是促进概率选择模型在成对比较产生的数据分析中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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