Fehlende Werte in den Erhebungsdaten stellen für die amtliche Statistik eine Herausforderung dar. Ein falscher Umgang mit ihnen kann die Ergebnisse verzerren. Zudem machen große Datenmengen und hohe Anforderungen an die Aktualität der Daten zunehmend automatisierte Plausibilisierungs- und...

Various solutions have been suggested for the large climate impact of aviation, some of which would have far-reaching consequences for tourism. This study analyzes the discourses of climate protesters on this topic. Visual protest materials targeting aviation were photographed at three Swiss...

Despite the widespread use of graphs in empirical research, little is known about readers' ability to process the statistical information they are meant to convey ("visual inference"). We study visual inference within the context of regression discontinuity (RD) designs by measuring how...

Human visual system is modeled in engineering field providing feature-engineered methods which detect contrasted/surprising/unusual data into images. This data is “interesting” for humans and leads to numerous applications. Deep learning (DNNs) drastically improved the algorithms efficiency...

Benford’s law has been examined as a useful tool for detecting potential accounting fraud. In this article, I provide an introduction to Benford’s law and examine how the first-digit, second-digit, and first-two digits tests in Benford’s law can be employed to detect potential accounting...

SEMinR seeks to bring the latest state-of-the-art advances in SEM methods to the R ecosystem. This package also seeks to make describing and analyzing SEMs easier for practitioners.There have been several recent advances in the various branches of SEM that are often not reflected in existing R...