insider.si.edu

Data analysis using regression and multilevel/hierarchical models / Andrew Gelman, Jennifer Hill

STRI copy 39088014660302 purchased with funds from the S. Dillon Ripley Endowment. SERC copy 39088016914160 purchased with funds from the S. Dillon Ripley Endowment.
JSTOR Daily

On the Estimation of Hierarchical Latent Regression Models for Large-Scale Assessments

To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The ...
Warc

Unravelling concealed cognitive structures - generalised linear modelling of hierarchical value maps

There are many tools available for eliciting the deep-seated motives and underlying reasons behind consumers' purchase intentions, decisions and behaviours. Techniques such as mental mapping and ...
JSTOR Daily

Exploiting Special Structures in Constructing a Hierarchy of Relaxations for 0-1 Mixed Integer Problems

A new hierarchy of relaxations is presented that provides a unifying framework for constructing a spectrum of continuous relaxations spanning from the linear programming relaxation to the convex hull ...