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World of Statistics  

Fernanda Otília de Sousa Figueiredo
Doutor em Probabilidades e Estatística (Universidade de Lisboa)

Prof. Auxiliar
Faculdade de Economia do Porto,
Rua Roberto Frias,
4200-464 Porto

  • Office: D624
  • Phone (direct): +351 220426451
  • Phone: 351 22 557 1100 (ext. 4551)
  • FAX: +351 22 550 5050
  • e-mail:

Fernanda Otília de Sousa Figueiredo
  • Doutoramento (Habilitation degree), Probability and Statistics, University of Lisbon, 2003.
  • Mestrado (Habilitation degree), Probability and Statistics, University of Lisbon, 1995.
  • Licenciatura (Habilitation degree), Mathematics, University of Porto, 1984.
  • Statistical Quality Control
  • Extreme Value Theory
  • Data Analysis
  • Sampling Techniques
  • Location/scale estimators
  • Applications of Statistics in the area of Economics
Other Professional Activities:
  • Professor Assistant, University of Porto, since 2003
  • Research Assistant, University of Porto, since 1999-2003
  • Assistant teacher, Porto School of Economics, 1989-1998
  • Teacher of Maths in a high school, 1984-1989
Courses Lectured:
  • Statistical Quality Control, PhD in Applied Mathematics, M. Sc.'s in Modeling, Data Analysis and Decision Support Systems and M. Sc.'s in Data Analysis and Decision Support Systems, FEP, Porto University.
  • Sampling, in M. Sc.'s in Modeling, Data Analysis and Decision Support Systems, M. Sc.'s in Data Analysis and Decision Support Systems, FEP, Porto University and in M. Sc.'s in Applied Statistics and Modeling, FEUP, Porto University.
  • Courses on Quantitative Methods and Applied Statistics, in M. Sc.'s in Health care Economics and Management, FEP, Porto University
  • Several undergraduate courses (Licenciatura) on Probability and Statistics and Inference at FEP, Porto University.
  • Biostatistics, in M. Sc.'s in Biology, Lusófona University of Lisbon.
  • Several undergraduate courses (Licenciatura and Pós-graduação) on Mathematiics, Data Analysis, Sampling, Quantitative Methods and Statistics in different areas, such as, Economics, Management, Mathematics, Informatics and Health Care.
Most recent publications:
  • Castagliola, P., Figueiredo, F.and Maravelakis, P. E. (2018). The CUSUM median chart for known and estimated parameters. REVSTAT: Statistical Journal (in print).
  • Figueiredo, F., Gomes, M.I. and Henriques-Rodrigues, L. (2017). Value-at-risk estimation and the PORT mean-of-order-p methodology. REVSTAT: Statistical Journal, Vol. 15 nº 2, p.: 187 -204.
  • Castagliola, P., Maravelakis, P. E. and Figueiredo, F. (2016). The EWMA median chart with estimated parameters. IIE Transactions, 48:1, 66-74.
  • Figueiredo; F. and Gomes, M. I. (2016). The total median statistic to monitor contaminated normal data. Quality Technology and Quantitative Management, Vol. 13 nº 1, p.: 78 - 87.
  • Rivadeneira, F.J.,Figueiredo, A., Figueiredo, F., Carvajal, S. M. and Rivadeneira, R. A. (2016). ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY, HOLOS, Vol. 32, p.: 335 - U441.
Other relevant publications:
  • Neves, M.M., Gomes, M.I., Figueiredo, F. and Prata-Gomes, D. (2015). Modeling extreme events: sample fraction adaptive choice in parameter estimation. Journal of Statistical Theory and Practice, 9, 184-199.
  • Philippe Castagliola and Fernanda Figueiredo (2013). The median chart with estimated parameters. European Journal of Industrial Engineering, Vol. 7, nº5, pp. 594-614.
  • Pedro Rui Mazeda Gil and Fernanda Figueiredo (2013). Firm size distribution under horizontal and vertical innovation. Journal of Evolutionary Economics, Vol. 23 nº1, pp. 129-161.
  • Fernanda Figueiredo, M. Ivette Gomes, Lígia Henriques-Rodrigues and M. Cristina Miranda (2012). A computational study of a quasi-Port methodology for VaR based on second order reduced–bias estimation. Journal of Statistical Computation and Simulation, Vol.82 nº 4, pp. 587-602
  • Adelaide Figueiredo, Fernanda Figueiredo, Natália Monteiro and Straume Odd (2012). Restructuring in privatised firms: a statis approach. Structural Change and Economic Dynamics, Vol.23, pp.108-116.


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