[Forum SIS] Annuncio di Seminario: prof. Partha Lahiri

[Serena Arima]

*Tuesday 5th December at 11.00 am*



*Title: "**The role of jackknife in small area estimation"*





Venue: Room B,  floor 4th, Dep. MEMOTEF, Faculty of Economics, Sapienza
University of Rome

via del Castro Laurenziano, 9

Roma


*Speaker:*  *Partha Lahiri*, Joint Program in Survey Methodology and
Department of Mathematics, University of Maryland, College Park


*Abstract:*  There is a growing demand from various federal and local
government agencies to produce high quality estimates on a wide range of
characteristics for a target population and its different small subgroups.
These estimates are often produced using by an empirical best prediction
method that uses an appropriate mixed model in combining survey data with
various related administrative and census data. This statistical approach
has the potential to reduce cost in producing small area statistics as it
takes advantage of the existing databases instead of requiring new costly
survey data collection. The small area estimates are useful in assessing
the well-being of a nation in terms of various socio-economic and health
issues and taking remedial measures to improve on the situation, if
necessary.

A second-order unbiased mean square prediction (MSPE) error estimation has
been one of the challenging problems in small area estimation for over
thirty years. Various approaches have been proposed in the literature. In
this talk, I will first review the jackknife method in small area
estimation, including the recently proposed Monte-Carlo jackknife method
(McJack) in incorporating additional uncertainty due to model selection.

This talk is based on my collaborative research with my longtime
collaborator Professor Jiming Jiang, my former PhD students Drs. Shijie
Chen and Shu-Mei Wan Jiming Jiang, and Professor Thuan Nguyen .


*Short Bio*

Dr. Partha Lahiri is Professor of the Joint Program in Survey Methodology
(JPSM) and Department of Mathematics at the University of Maryland at
College Park, and an Adjunct Research Professor of the Institute of Social
Research, University of Michigan, Ann Arbor.  Prior to coming to Maryland,
Dr. Lahiri was the Milton Mohr Distinguished Professor of Statistics at the
University of Nebraska-Lincoln. His research interests include survey
sampling, official statistics, and small-area estimation.  Dr. Lahiri’s
research on small area estimation has been widely published in leading
journals such as the *Journal of the American Statistical Association,
Annals of Statistics, Biometrika *and* Survey Methodology.*  Dr. Lahiri has
served on a number of advisory committees, including the U.S. Census
Advisory committee and U.S. National Academy panel.  Over the years Dr.
Lahiri advised various local and international organizations such as the
United Nations Development Program, World Bank, Gallup Organization.  Dr.
Lahiri regularly teaches semester-long small area estimation course at
JPSM.  In addition, he offered short courses, workshops and a webinar on
small area estimation in different countries.  Dr. Lahiri is a Fellow of
the American Statistical Association and the Institute of Mathematical
Statistics and an elected member of the International Statistical Institute.
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