IASS Webinar 47: Data-driven Area-Specific Selection of Synthetic or Nested-error models
| Date | 18 Dec 2024 |
| Time | 13:00 GMT+01:00 - 14:30 GMT+01:00 |
| Level of instruction | Intermediate |
| Instructor |
Isabel Molina
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| Registration fee | |
View the webinar recording here.
Speaker: Isabel Molina
A data-driven area-specific selection procedure of the area effects in the nested error model is proposed through a mixture model. Two different specifications of the mixture model are considered. An expectation-maximization (E-M) method is designed for fitting each proposed mixture model. Under the proposed mixture models, two alternative new predictors of general small area indicators are proposed. A parametric bootstrap method is used to estimate the mean squared errors of the proposed predictors. The properties of the new predictors and of the bootstrap procedure are analyzed in simulation experiments. This is joint work with A. Bikauskaite and D. Morales
Instructors
About the instructor
Isabel Molina is a Faculty member of the Department of Statistics and Operations Research at Complutense University of Madrid and coordinator of the European Master Degree in Official Statistics and Social and Economic Indicators. She holds a PhD in Statistics and Operations Research from Miguel Hernández University in Spain. She has been visiting researcher in the Institute of Automatics and Information Theory and in the Czech Technical University in Prague (Czech Republic), in the University of Southampton (UK), in Carleton University and in Statistics Canada in Ottawa (Canada), in the University of Florida and in the Institut de Statistique de Neuchatel (Switzerland). She received the Ramiro Melendreras Award for Young researchers of the Spanish Society of Statistics and Operations Research (SEIO in Spanish) in 2001, the Extraordinary PhD Prize from Miguel Hernández University in 2005, the Best Paper Award 2010 of the Statistical Society of Canada, the Award of Excellence for Young Researchers of Carlos III University of Madrid in 2018 and the Prize of the Royal Academy of Science Foundation to the Young Women’s Scientific Talent in 2021, in the category of Mathematics and affine sciences. She has published over 50 peer-reviewed papers on these topics and is currently a member of the editorial board of the scientific journal Survey Methodology. She is co-author with J.N.K. Rao of the 2nd edition of the Wiley book “Small Area Estimation”. She has collaborated with the French Santé Publique, with the National Statistical Institutes from Mexico, Chile, Bolivia, Switzerland, Balear Islands and the Vasque country, and with various international organisations.