Abstract: Deep learning techniques have been widely adopted in daily life with applications ranging from face recognition to recommender systems. The substantial ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Kansas auditors are scrutinizing the Supplemental Nutrition Assistance Program (SNAP) for signs of misuse and payment errors. The Kansas Legislative Division of Post Audit ...

For an agency that describes itself as the “principal fact-finding agency for the federal government” in labor economics and statistics, that’s a shocking and intolerable error.

On Tuesday, the Bureau of Labor Statistics (BLS) published a revision of its latest job numbers, a report that shows just how far off its estimates of overall employment were from reality. The latest ...

The crisis-hit Office for National Statistics apologised yesterday as it revealed its latest blunder – admitting that it had overestimated retail sales this year ...

The Office for National Statistics admitted to a mistake over how it adjusts its retail sales data to align precisely with calendar months. The UK’s statistics body has apologised after revealing ...

ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...