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贝叶斯因子选择在一种混合方法的确认因子分析的选择.

Junyu Nie1, Jihnhee Yu1

  • 1Department of Biostatistics, University at Buffalo, State University of New York, Buffalo, NY, USA.

Journal of applied statistics
|November 7, 2024
PubMed
概括

本研究引入了贝叶斯的确认因子分析 (CFA) 方法,可以准确识别复杂的潜在结构,包括双因子模型中的交叉负载. 该方法改善了与健康有关的生活质量调查的模型选择.

关键词:
贝叶斯因素选择选择贝叶斯因素选择两个因素模型模型.横负荷 横负荷 横负荷模型的识别性模型的识别性.在之前的尖峰和板块之前.

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