Hierarchical models provide reliable statistical estimates for data sets from high-throughput experiments where measurements vastly outnumber experimental samples. Interpreting 'omics data often ...
Bower, Joseph L., and Clark Gilbert. "A Revised Model of the Resource Allocation Process." Harvard Business School Working Paper, No. 05-078, June 2005.
This software specialises in three areas: models with responses at several levels of a data hierarchy, multilevel structural equation models, and measurement error ...
It is revised every five to ten years; implementation of the seventh national curriculum ... In addition, policy is still set through a four-tiered hierarchical model that is heavily weighted against ...
Annals of Economics and Statistics No. 145, March 2022 DIFFERENCES IN POSITIONS ALONG A HIERARC... We propose an assignment model in which positions along a hierarchy are attributed to individuals ...
An anatomically defined retinotopy atlas was applied to the inflated cortical surface for each participant in order to delineate the borders of V1, V2 and V3, and also each degree of eccentricity up ...
An objective signal that an empirical model needs to be revised is if it produces systematic forecasting errors. Systematic errors imply that one or more equations of the model are incorrect.
For human tissues, prior experimental manipulations are impractical, and genomic alterations are employed. Somatic mutations mark subclones and their fates can be reconstructed with DNA sequencing ...
Low-cost automobiles for the masses continued to sustain the brand through to the post-war period, leaving fancier and higher performing cars to its stablemates within the GM hierarchy.