On August 1, 2025, President Trump fired the head of the U.S. Bureau of Labor Statistics (BLS) and claimed that the agency's data were "rigged." In the aftermath, measures of economic policy uncertainty rose sharply, consistent with the idea that reduced trust in official data increases...

The European Dactyloscopy Database (Eurodac) is the large-scale IT system used in the EU for managing asylum applications within the EU+2, as illustrated in Figure 1. The system allows fingerprint comparison and storage, and therefore supports the effective implementation of Regulation (EU) No...

The key assumption of normally distributed error terms is usually not tested in empirical practice when using ordered probit models. Therefore, an artificial regression version of the LM test against the class of Pearson distributions is derived that can be implemented more easily than the...

Metadaten, Metadatenmanagement, StandardisierungDas Statistische Bundesamt steht ständig vor der Herausforderung, deutlich größere Datenvolumen zu verarbeiten; zugleich steigen die Erwartungen der Öffentlichkeit an die Aktualität und Granularität der amtlichen Statistiken. Aktuelle...

Metadaten, Metadatenmanagement, StandardisierungDas Statistische Bundesamt steht ständig vor der Herausforderung, deutlich größere Datenvolumen zu verarbeiten; zugleich steigen die Erwartungen der Öffentlichkeit an die Aktualität und Granularität der amtlichen Statistiken. Aktuelle...

Sums of the ratings that judges assign to wines are a near universal method of determining the winners and losers of wine competitions. Sums are easy to calculate and easy to communicate, but seven flaws make sums of ratings a perilous guide to relative quality or preference. Stars & Bars...

Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to environmental management. However, many statistics are only available for coarse administrative units, necessitating techniques for fine-scale spatial disaggregation. This paper...

In this, we argue that statistics is one of the fields of greatest significance for developing tools and techniques to find patterns in data and to give a greater understanding of them, as well as the most crucial for analyzing and calculating uncertainty. We provide a summary of several data...

We propose a new way to obtain identification results using order statistics as finite mixtures with two key properties: i) the weights are known integer numbers; and ii) the elements of the mixture are the distributions of the maximum over a subset of the original random variables. We leverage...

This paper presents a distribution-free test, based on the permutation approach, on treatment effects with a multivariate categorical response variable. The motivating example is a typical case-control biomedical study, performed to investigate the effect of the treatment called "assisted motor...

In statistical analysis, evaluating the normality of large datasets is crucial for validating parametric tests, particularly in areas such as Global Navigation Satellite System (GNSS) measurements, where data often exhibit non-normal characteristics resulting from their variability and errors....