Dealing with the biased effects issue when handling huge datasets: the case of INVALSI data
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DOI: 10.1080/02664763.2015.1043867
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References listed on IDEAS
- S. K. Vines, 2000. "Simple principal components," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 441-451.
- Hugh Chipman & Hong Gu, 2005. "Interpretable dimension reduction," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(9), pages 969-987.
- Kapetanios, George, 2010.
"A Testing Procedure for Determining the Number of Factors in Approximate Factor Models With Large Datasets,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 397-409.
- George Kapetanios, 2005. "A Testing Procedure for Determining the Number of Factors in Approximate Factor Models with Large Datasets," Working Papers 551, Queen Mary University of London, School of Economics and Finance.
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- Paolo Giudici & Emanuela Raffinetti, 2021. "Cyber risk ordering with rank-based statistical models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(3), pages 469-484, September.
- Malavasi, Matteo & Peters, Gareth W. & Shevchenko, Pavel V. & Trück, Stefan & Jang, Jiwook & Sofronov, Georgy, 2022. "Cyber risk frequency, severity and insurance viability," Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 90-114.
- Matteo Malavasi & Gareth W. Peters & Pavel V. Shevchenko & Stefan Truck & Jiwook Jang & Georgy Sofronov, 2021. "Cyber Risk Frequency, Severity and Insurance Viability," Papers 2111.03366, arXiv.org, revised Mar 2022.
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