Iglesias Pérez

University School Professor

Area of Statistics and Operations Research
Department of Statistics and Functional Research

Contact information

School of Forest Engineering
Despacho 23
A Xunqueira, s/n
36005 Pontevedra

+34 986 801 933
mcigles@uvigo.es

Short CV

Degree in Mathematics (Santiago University, 1988) and PhD in Mathematics (Santiago University, 2001). Associate Professor, Department of Statistics and OR, University of Vigo. Teaching activity: Degree in Forestry, Degree in Sciences of Physical Activity and Sport, Master in Statistical Techniques. Research activity: SiDOR Research Group (University of Vigo). She has published nine JCR papers, and participated in eight research projects. Member of SGAPEIO (Galician Society for the Promotion of Statistics and Operations Research) has cooperated in organizing various conferences, seminars and activities, both scientific and disclosure of Statistics.

Teaching

Teaching profile at UVigo

1st term

Máster Universitario en Investigación en Actividade Física, Deporte e Saúde

P02M156V01109 | Análise Multivariante

2nd term

Grao en Ciencias da Actividade Física e do Deporte

P02G050V01302 | (coordinator)

 

Tutorials

1st term

On-site tutorials
The teaching staff has a on-site tutorials offer in fixed timetable on the following schedule:
– Monday: from 11:00 to 14:00, Despacho 23, Escola de Enxeñaría Forestal

On-site concerted tutorials
The teaching staff has a on-site tutorials offer in concerted timetable. You can arrange a meeting in your Online Secretariat.

 

2nd term

On-site tutorials
The teaching staff has a on-site tutorials offer in fixed timetable on the following schedule:
– Monday: from 11:00 to 14:00, Despacho 23, Escola de Enxeñaría Forestal

On-site concerted tutorials
The teaching staff has a on-site tutorials offer in concerted timetable. You can arrange a meeting in your Virtual Secretariat.

Research

Research group

Inferencia Estatística, Decisión e Investigación Operativa

Research topics

  • Nonparametric curve estimation censored and truncated data
  • Survival analysis
  • Statistical applications in Physical Activity, Sport and Health