A NOVEL GAUSSIAN PROCESS SURROGATE MODEL WITH EXPECTED PREDICTION ERROR FOR OPTIMIZATION UNDER CONSTRAINTS



Evaluating uncertainty: the impact of the sampling and assessment design on statistical inference in the context of ILSA

Abstract This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies.We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingf

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