How to Assess a Model's Testability and Identifiability.
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Predicting true patterns of cognitive performance from noisy data.Active data collection for efficient estimation and comparison of nonlinear neural models.Estimating cerebral oxygen metabolism from fMRI with a dynamic multicompartment Windkessel modelOn the Unidentifiability of the Fixed-Effects 3PL Model.On the Link between Cognitive Diagnostic Models and Knowledge Space Theory.Revisiting absolute and relative judgments in the WITNESS model.multiTree: a computer program for the analysis of multinomial processing tree models.Assessing the local identifiability of probabilistic knowledge structures.The serial-parallel dilemma: a case study in a linkage of theory and method.Word frequency of irrelevant speech distractors affects serial recall.
P2860
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P2860
How to Assess a Model's Testability and Identifiability.
description
2000 nî lūn-bûn
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2000年の論文
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年學術文章
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2000年學術文章
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name
How to Assess a Model's Testability and Identifiability.
@en
How to Assess a Model's Testability and Identifiability.
@nl
type
label
How to Assess a Model's Testability and Identifiability.
@en
How to Assess a Model's Testability and Identifiability.
@nl
prefLabel
How to Assess a Model's Testability and Identifiability.
@en
How to Assess a Model's Testability and Identifiability.
@nl
P356
P1476
How to Assess a Model's Testability and Identifiability.
@en
P2093
van Santen JP
P356
10.1006/JMPS.1999.1275
P577
2000-03-01T00:00:00Z