María is Ph.D.in Statistics from the University Carlos III of Madrid (Spain), title of the disertation: Small area estimation under complex sampling designs. She is methodologist in Data center at LISER.
Her field of research is small area estimation, survey methodology and calibration estimators. She has participated in small area estimation conferences of 2016 in Maastrich and 2017 conference in Paris.
Currently, she is working on House Finance Consumption survey (HFCS), European Value Study (EVS).
MOLINA Isabel, RAO J.N.K., GUADARRAMA María. Small Area Estimation Methods for Poverty Mapping: A Selective Review. Statistics and Applications, 2019, vol. 17, n°1, pp. 11-22.
GUADARRAMA María, MOLINA Isabel, RAO J.N.K. Small area estimation of general parameters under complex sampling designs. Computational Statistics & Data Analysis, May 2018, vol. 121, pp. 20-40.
GUADARRAMA Maria, MOLINA Isabel, RAOJ. N. K. A comparison of small area estimation methods for poverty mapping. Join issue Statistics in Transition new series and Survey Methodology, 2016, vol. 17, n°1, pp. 41-66.
RAOJ. N. K., MOLINA Isabel, GUADARRAMA Maria. Small area estimation of general parameters under complex sampling designs. Universidad Carlos III de Madrid. Departamento de Estadística, 2016, DES-Working Papers, Statistics and Econometrics n°2016-04, 29 p.
GUADARRAMA SANZ Maria. Small area estimation methods under complex sampling designs (Doctoral dissertation). Universidad Carlos III de Madrid. Departamento de Estadística, Defense date: 2017-12-04.