; SAGE Publications - edited by Herwig Friedl and Helga Wagner, Linz, Austria (2015), pp. 1-6
Abstract
Media-metering panels track TV and online usage of people to analyze viewing behavior. However, panel data is often incomplete due to non-registered devices, non-compliant panelists, or work usage. We thus propose a probabilistic model to impute missing events in data with excess zeros using a negative-binomial hurdle model for the unobserved events and beta-binomial sub-sampling to account for missingness. We then use the presented models to estimate the number of people in Germany who visit YouTube.
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