Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard ...

Identifying correlation structure is important to achieving estimation efficiency in analyzing longitudinal data, and is also crucial for drawing valid statistical inference for large-size clustered ...

The Data Science Lab K-Means Data Clustering from Scratch Using C# K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it ...

Confluent today unveiled a string of new enhancements for its Apache Kafka-based streaming data offering, including new source and sink data connectors, new controls for expanding and shrinking Kafka ...

To accommodate the surging data volumes, Facebook has moved its Hadoop cluster to a new and bigger data center.

Norman defends death statistics Norman also pushed back against criticism from some conservatives who argue the apparent increase in deaths related to COVID-19 is misleading the public.