September 26 - 16:00 : "Many-to-One indirect sampling with application to the French postal traffic estimation" -
Estelle Medous (IGN, France)
Many-to-One indirect sampling with application to the French postal traffic estimation
Abstract:
In probabilistic surveys, when there is no sampling frame for the target population, a solution is to find a frame population linked in some way to the target population and use indirect sampling. The sampling weights can be determined using the generalized weight share method (GWSM). However, this method cannot be applied when some of the links between the frame population and the sample in the target population are missing or difficult to retrieve exhaustively.
A solution to avoid this issue is to consider an intermediate population linked in some way to both the frame and target populations and use a double indirect sampling. Then the GWSM can be used twice, first between the frame and intermediate populations and then between the intermediate and target populations. As illustrated with the French postal traffic survey, this double indirect sampling appears to be deteriorating the precision of estimators in some situations. Using mathematical derivations, it is possible to highlight the magnitude of the loss of precision in practical situations similar to the French postal context. The talk will start with an introduction to Survey sampling theory.
It will be followed by a presentation of GWSM and double GWSM as well as the theoretical results. Finally, results will be illustrated through Monte Carlo simulations tailored to the French postal traffic estimation.
This seminar will be given online via Teams. It will also be streamed to room C-115, 20 voie du Roman Pays, Louvain-la-Neuve.
Lien: https://teams.microsoft.com/meet/3117965410214?p=lfIkeiZT6eZ8wUG6jn