Research - Page 2

Lessons Learned from PISA 2018 Statistics and Other International Student Assessments

2021, Crato, N. (Ed.) Improving a Country’s Education: PISA Results in 10 Countries PISA 2018 was the largest large-scale international assessment to date. Its results confirm the improvements of some countries, the challenges other countries face, and the decline observed in a few others. This chapter reflects on the detailed analyses of ten countries policies,

A fragmented-periodogram approach for clustering big data time series.

We propose and study a new frequency-domain procedure for characterizing and comparing large sets of long time series. Instead of using all the information available from data, which would be computationally very expensive, we propose some regulariza-tion rules in order to select and summarize the most relevant information for clustering purposes. Essentially, we suggest to

Assessment Background: What PISA Measures and How

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A fragmented-periodogram approach for clustering big data time series

AbstractWe propose and study a new frequency-domain procedure for characterizing and comparing large sets of long time series. Instead of using all the information available from data, which would be computationally very expensive, we propose some regularization rules in order to select and summarize the most relevant information for clusteringpurposes. Essentially, we suggest to use

Relationship between equity and excellence in education: Multilevel analysis of international students assessment data with a focus on Turkey.

Özdemir, Caner Ph.D., Department of Sociology Supervisor: Prof. Dr. Ayşe Gündüz Hoşgör July 2015, 236 pages ABSTRACT: This dissertation aims at finding the relationship between equity and excellence in education and how these two dimensions interplay in Turkey. It is found that inequalities in education are not functional as suggested by functionalist theories. On the

Tests for comparing time series of unequal lengths

This paper deals with hypothesis testing for independent time series with unequal length. It proposes a spectral test based on the distance between the periodogram ordinates and a parametric test based on the distance between the parameter estimates of fitted autoregressive moving average models.

Tests for comparing time series of unequal lengths

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Journal of Statistical Computation and Simulation, Maio 2011.

Jorge Caiado, Nuno Crato and Daniel Peña.

This paper deals with hypothesis testing for independent time series with unequal length. It proposes a spectral test based on the distance between the periodogram ordinates and a parametric test based on the distance between the parameter estimates of fitted autoregressive moving average models. Both tests are compared with a likelihood ratio test based on the pooled spectra. In all cases, the null hypothesis is that the two series under consideration are generated by the same stochastic process. The performance of the three tests is investigated by a Monte Carlo simulation study.

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