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Updated: Jul 15, 2025

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对于大型稀缺应急表的分类边际模型的最大增强实证概率估计

L Andries van der Ark1, Wicher P Bergsma2, Letty Koopman3

  • 1Research Institute of Child Development and Education, University of Amsterdam, P.O. Box 15776, 1001, NG, Amsterdam, The Netherlands. L.A.vanderArk@uva.nl.

Psychometrika
|September 26, 2023
PubMed
概括

最大增强的经验概率 (MAEL) 估计为分析大,稀疏的分类数据提供了解决方案. 这种新方法克服了复杂模型最大实证概率 (MEL) 的局限性.

关键词:
克伦巴赫的阿尔法分类边际模型的分类边际模型.大量的分类数据集.边际同质性的边际同质性最大的经验概率估计估计.最大的概率估计估计.可扩展性系数的可扩展性系数

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