A Bayesian analysis of design parameters in survey

Over the last two decades, there has been an increasing interest in survey data collection monitoring, analysis, and intervention or adaptation.
This paper presents a Bayesian framework to include and update prior knowledge and expert opinion about survey design parameters. This framework is set in the context of adaptive survey designs in which different population units may receive different treatment given quality and cost objectives. For this type of survey, the accuracy of design parameters becomes even more crucial to effective design decisions. The framework allows for a Bayesian analysis of the performance of a survey during data collection and in between waves of a survey.