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World of Statistics  
   
 

Maria Ivette Leal de Carvalho Gomes
Doutora em Probabilidades e Estatística (University of Sheffield)

Prof. Catedrático
Departamento de Estatística e Investigação Operacional
Faculdade de Ciências
Universidade de Lisboa
Campo Grande, 1749-016 Lisboa, Portugal


Maria Ivette Leal de Carvalho Gomes
Educação:
  • Agregação (Habilitation degree), Applied Mathematics, University of Lisbon, 1982.
  • Equivalence to the degree Doutor em Ciências, Probability and Statistics, Universidade de Lisboa, 1979
  • Ph.D., Statistics, University of Sheffield, U.K., 1978.
  • B.Sc., Pure Mathematics, Faculty of Sciences of Lisbon, 1970
Investigação: Assuntos de interesse:
  • Extreme Value Theory
  • Computational Statistics
  • Exploratory Data Analysis
  • Resampling Techniques
  • Statistical Quality Control
Outras actividades Profissionais:
  • Full Professor, Department of Statistics and Operations Research, since 1985 (retired in 2011)
  • Associate Professor, Faculty of Science of Lisbon, 1979-1985.
  • Assistant Professor, Faculty of Science of Lisbon, 1978-1979.
  • Research Assistant, University of Sheffield, 1975-1978.
  • Teaching Assistant, Faculty of Science of Lisbon, 1970-78.
Disciplinas leccionadas:
  • Statistical Quality Control, B. Sc.'s in Probability and Statistics and in Statistics and Operations Research.
  • Reliability, B. Sc.'s in Probability and Statistics and in Statistics and Operations Research.
  • Computational Statistics, B. Sc. in Probabiility and Statistics.
  • Order Statistics and Applications, M. Sc. in Probability and Statistics.
  • Statistics of Extremes, M. Sc.'s in different areas.
  • Simulation, M.Sc.'s in different areas.
Publicações mais recentes:
  • Caeiro, F., Gomes, M.I. & Henriques-Rodrigues, L. (2016). A location invariant probability weighted moment EVI estimator. International Journal of Computer Mathematics 93:4, 676–695.

     
  • Figueiredo, F. & Gomes, M.I. (2016). The total median statistic to monitor contaminated normal data. Quality Technology and Quantitative Management 13:1, 78-87.
     
  • Gomes, M.I., Henriques-Rodrigues, L. & Manjunath, B.L. (2016). Mean-of-order-p location-invariant extreme value index estimation. Revstat 14:3, 273-296.
     
  • Gomes, M.I., Brilhante, M.F. & Pestana, D. (2016). New reduced-bias estimators of a positive extreme value index. Communications in Statistics: Simulation and Computation 45, 1-30.
     
  • Leiva, V., Ferreira, M., Gomes, M.I. & Lillo, C. (2016). Extreme value Birnbaum-Saunders regression models applied to environmental data. SERRA: Stochastic Environmental Research and Risk Assessment 30:3,1045-1058.
     
Outras Publicações relevantes:
  • Gomes, M.I., de Haan, L. and Henriques-Rodrigues, L. (2008). Tail index estimation for heavy-tailed models: accommodation of bias in weighted log-excesses. J. Royal Statistical Society B70, Issue 1, 31-52.


     
  • Gomes, M.I. and Pestana, D.D. (2007). A sturdy reduced bias extreme quantile (VaR) estimator. J. American Statistical Association 102, No. 447, 280-292.


     
  • Fraga Alves, M.I., Gomes, M.I. and de Haan, L. (2003). A new class of semi-parametric estimators of the second order parameter. Portugaliae Mathematica 60:2, 193-213.
     
  • Gomes, M.I. and Martins, M.J. (2002). Asymptotically unbiased" estimators of the tail index based on external estimation of the second order parameter. Extremes 5:1, 5-31.
     
  • Gomes, M.I. (1984). Penultimate limiting forms in extreme value theory. Ann. Inst. Statist. Math. 36A, 71-85.
     

 

     
 
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