"Error analysis for hybrid estimates of proportions using big data" by Siu Ming Tam, Dennis Trewin et al.
Big data, including administrative data, is seen as a new data source for official statistics especially given the increasing difficulty of getting acceptable response rates in sample surveys. It might be used directly or perhaps with the use of models to adjust for shortcomings in the big data. Hybrid estimates using complementary survey data are another technique for overcoming these shortcomings. To make decisions on how big data might be used, we need to understand the nature of the errors in the big data source. The paper describes an Error Framework for the analysis of errors in big data...
Source: uow.edu.au