Title（问题）：Small Area Estimation: An Overview

Speaker（报告人）：Professor Partha Lahiri Joint Program in Survey Methodology (JPSM) Department of Mathematics, University of Maryland

Time（时间）：2011年6月24日（周五）下昼2:00-3:30

Place（所在）：伟易博老楼119课堂

Abstract（摘要）：Direct survey estimates of various socio-economic, agriculture and health statistics for small geographic areas are generally highly imprecise due to small sample sizes in the areas. To improve on the precision of the direct survey estimates, small area estimation techniques are often employed to borrow strength from related information that can be extracted from one or more existing administrative and/or census databases. In this talk, I will first discuss the main concepts and issues in small area estimation and then illustrate the effectiveness of small area estimation techniques in poverty mapping.

About the speaker（报告人先容）：Partha Lahiri is Professor of the Joint Program in Survey Methodology (JPSM) at the University of Maryland, College Park, and an Adjunct Research Professor of the Institute of Social Research, University of Michigan, Ann Arbor. Professor Lahiri’s research on small-area estimation has been widely published in leading journals such as theBiometrica,Journal of the American Statistical Association, Annals of StatisticsandSurvey Methodology. Professor Lahiri has served as member/advisor/consultant to many organizations, including the U.S. Census Advisory committee, National Academy of Science panel, the United Nations, World Bank, Gallup Organization, etc. Professor Lahiri has served on the Editorial Board of many international journals, including the prestigiousJournal of the American Statistical AssociationandSurvey Methodology. He is a Fellow of theAmerican Statistical Associationand theInstituteof Mathematical Statisticsand an elected member of theInternational Statistical Institute.

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