[Forum SIS] Seminar, prof. Yves Tillé

[Marco Alfo']

Apologies for cross-posting


---- SEMINAR (PhD School in Statistical Sciences) ----
Tuesday 27 november 2018, 14.30-16.00, room 34,
IVth floor, Statistical Sciences building, Sapienza Universita' di Roma

Speaker: prof. Yves Tillé (Université de Neuchatel)

*How to select a sample? *

Abstract: The principles of sampling can be synthesized in randomization,
restriction and over-representation. Define a sample design – define
stratification, equal/unequal selection probability, etc. – means to use
prior information and it is equivalent to assume a model on the population.
Several well-known sampling designs are optimal related to models that
maximizes the entropy. In the Cube method the prior information are used to
derive a sample that match the total or means of auxiliary variables. In
this respect, the sample is called balanced. Furthermore, if distances
between statistical units – based on geographical coordinates or defined
via auxiliary variables – are available, it could be interesting to spread
the sample in the space in order to make the design more efficient. In this
perspective, new spatial sampling methods, such as the GRTS, the local
pivotal method and the local cube, will be covered.
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