Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples.

The hierarchy-of-effects theory is a model of how advertising influences a consumer's decision to purchase or not purchase a product or service.

Hierarchical data model generation during IP verification: During IP-level CDC verification, a data model is generated along with CDC results. This HDM contains all the necessary information about the ...

Storage systems that are built around a hierarchical model will more easily accept XML data and will do so without having to perform relational and indexing gymnastics as they would with a ...

Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

The CASMIN model of class mobility proposed by Erikson and Goldthorpe advances our understanding of cross-national differences in social mobility in a number of important ways, most notably by showing ...