Department seminar by J. N. K. Rao, Carleton UniversityExport this event to calendar

Thursday, July 11, 2019 — 4:00 PM EDT

On making valid inferences by combining data from multiple sources: An appraisal


National statistical agencies have long been using probability samples from multiple sources in conjunction with census and administrative data to make valid and efficient inferences on population parameters of interest, leading to reliable official statistics. This topic has received a lot of attention more recently in the context of decreasing response rates from probability samples and availability of data from non-probability samples and in particular “big data”. In this talk, I will discuss some methods, based on models for the non-probability samples, which could lead to useful inferences when combined with probability samples observing only auxiliary variables related to a variable of interest.  I will also explain how big data may be used as predictors in small area estimation and comment on using non-probability samples to produce “real time” official statistics.

Professor Mary Thompson will serve as a formal discussant to the talk. To meet with Professor Rao during his visit (Wednesday July 10 – Friday July 12) at Waterloo, contact Professor Changbao Wu (cbwu@uwaterloo.ca).

Location 
M3 - Mathematics 3
Room: 3127
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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