Date/Time
Date(s) - 30/07/2025
2:00 pm - 3:30 pm

Category(ies) No Categories

IASS Webinar 54:     Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling  

Speaker:  Jae-kwang Kim
Professor, Department of Statistics at Iowa State University  

 30 July 2025  at 2pm – 3:30pm (CET)

All are invited to the webinar, organised by the International Association of Survey Statisticians.

Please register for the IASS Webinar at:

https://us06web.zoom.us/webinar/register/1517437711323/WN_vh_eaGeOQZKu5tu8FWMn-A#/registration

 After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI web site. See below for the abstract and biography of the speakers.

Webinar Abstract

Incorporating the auxiliary information into the survey estimation is a fundamental problem in survey sampling. Calibration weighting is a popular tool for incorporating the auxiliary information.  The calibration weighting method of Deville and Sarndal (1992) uses a distance measure between the design weights and the final weights to solve the optimization problem with calibration constraints.

In this talk, we first present the calibration weighting problem as a projection onto a subspace of calibration weights. After that, we propose a new framework using generalized entropy as the objective function for optimization. Design weights are used in the constraints, rather than in the objective function, to achieve design consistency. The new calibration framework is attractive as it is general and can produce more efficient calibration weights than the classical calibration weights. Furthermore, we identify the optimal choice of the generalized entropy function that achieves the minimum variance among the different choices of the generalized entropy function under the same constraints. Asymptotic properties, such as design consistency and asymptotic normality, are presented rigorously.  The results from a limited simulation study are also presented.

Biography

 Jae-kwang Kim is Liberal Arts and Sciences (LAS) Dean’s Professor in the Department of Statistics at Iowa State University. He is a fellow of ASA and IMS. He is a coauthor of the book Statistical Methods for Handling Incomplete Data.  His recent book “Statistics in Survey Sampling” is also in press at Chapman & Hall.