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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, 2011
We introduce a novel class of data cube, called latent-variable cube. For many data analysis tasks, data in a database can be represented as points in a multi-dimensional space. Ordinary data cubes compute aggregate functions over these "observed" data points for each cell (i.e., region) in the space, where the cells have different granularities ...
Deepak Agarwal, Bee-Chung Chen
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We introduce a novel class of data cube, called latent-variable cube. For many data analysis tasks, data in a database can be represented as points in a multi-dimensional space. Ordinary data cubes compute aggregate functions over these "observed" data points for each cell (i.e., region) in the space, where the cells have different granularities ...
Deepak Agarwal, Bee-Chung Chen
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2000
Es handelt sich um einen Oberbegriff fur die Energien, die fur den Phasenwechsel eines Stories erforderlich sind. Als spezifische Groasen (Energie pro Masse) sind dies die Phasenwechsel-Enthalpien ▵h * i des jeweiligen Phasenuberganges.
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Es handelt sich um einen Oberbegriff fur die Energien, die fur den Phasenwechsel eines Stories erforderlich sind. Als spezifische Groasen (Energie pro Masse) sind dies die Phasenwechsel-Enthalpien ▵h * i des jeweiligen Phasenuberganges.
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Psychometrika, 2011
A distinction is proposed between measures and predictors of latent variables. The discussion addresses the consequences of the distinction for the true-score model, the linear factor model, Structural Equation Models, longitudinal and multilevel models, and item-response models.
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A distinction is proposed between measures and predictors of latent variables. The discussion addresses the consequences of the distinction for the true-score model, the linear factor model, Structural Equation Models, longitudinal and multilevel models, and item-response models.
openaire +3 more sources