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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

  • Gabinete: D624
  • Telefone (directo): +351 220426451
  • Telefone: 351 22 557 1100 (ext. 4551)
  • FAX: +351 22 550 5050
  • e-mail: otilia@fep.up.pt

Fernanda Otília de Sousa Figueiredo
Educação:
  • 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.
Investigação: Assuntos de interesse:
  • Statistical Quality Control
  • Extreme Values
  • Data Analysis
  • Sampling Techniques
  • Location/scale estimators
  • Applications in the area of Economics
Outras actividades Profissionais:
  • 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
Disciplinas leccionadas:
  • 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.
Publicações mais recentes:
  • Philippe Castagliola, Petros E. Maravelakis and Fernanda Otilia Figueiredo (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 & Quantitative Management, 13:1, 78-87.
     
  • Gomes, M.I., Figueiredo, F., Martins, M.J. and Neves, M. (2015). Resampling methodologies and reliable tail estimation. South African Statistical Journal, 49, 1-20.
     
  • 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.
     
  • 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.
     
Outras Publicações relevantes:
  • Philippe Castagliola and Fernanda Figueiredo (2013). The median chart with estimated parameters. European Journal of Industrial Engineering, Vol. 7, nº5, pp. 594-614.
     
  • 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.
     
  • Pedro Mazeda Gil, Fernanda Figueiredo and Óscar Afonso (2010). Equilibrium Price Distribution with Directed Technical Change. Economics Letters, 108, 130-133.
     
  • Jan Beirlant, Fernanda Figueiredo, M. Ivette Gomes and Bjorn Vandewalle (2008). Improved Reduced Bias Tail Index and Quantile Estimators. J. Statist. Planning and Inference, 138, 1851-1870.
     

 

     
 
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