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In this paper, we propose a new clustering method based on the concept of maximum likelihood (ML) estimation. In general, the problem of local minima arises when we try to use the ML method in clustering problems. Our method circumvents this problem by employing the so called simulated annealing...
This paper compares an association model for trivariate contingency tables with the trivariate normal distribution. First, similarity between the two models is discussed. Second, it is proved that the association model approximates the discretized trivariate normal distribution. An aritificial...
An item response model, similar to that in test theory, was proposed for multiple-choice questionaire data. In this model both subjects and item categories are represented as points in a multidimensional euclidean space. The probability of a particular subject choosing a particular item category...
The asymmetric cluster analysis was applied to the enrollement flow from high school to university among the Japanese prefectures to disclose and to compare university enrollment regions before and after the introduction of the Joint First Stage Achievement Test (JFSAT). The asymmetric cluster...
When we select No students from N applicants on the basis of a composite score of subtests, it is important to evaluate the contribution of each subtest. The swap-rate, which is defined as the proportion of the applicants who actually pass the examination but would fail if the j-th subtest were...
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