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"Predicting the Finite Population Distribution Function under a Multile" by Sumonkanti Das, Nicola Salvati et al.

Chambers and Dunstan proposed a model-based predictor of the population distribution function that makes use of auxiliary population information under a general sampling design. Subsequently, Rao, Kovar, and Mantel proposed design-based ratio and difference predictors of the population distribution function that also use this auxiliary information. Both predictors (CD and RKM) assume a single level model for the target population. In this article we develop predictors of the finite population distribution function for a population that follows a multilevel model. These new predictors use the same smearing approach underpinning the CD predictor. We compare our new predictors with the CD and RKM predictors via design-based simulation, and show that they perform better than these single level predictors when there is significant intra-cluster correlation. The performances of these new two level predictors are also examined via an empirical study based on data from a large-scale UK busines ....

United Kingdom , Business Survey , Distribution Function , Multilevel Model , Mearing Approach ,

Discovery of Hidden Distortions Opens a Pathway for New High-Performance Thermoelectrics

In a world of materials that normally expand upon heating, one that shrinks along one 3D axis while expanding along another stands out. That's especially true when the unusual shrinkage is linked to a property important for thermoelectric devices, which convert heat to electricity or electricity to heat. ....

Emil Bozin , Christopher Wolverton , Deutsches Elektronen , Hongyao Xie , Mercouri Kanadzidis , Simon Billinge , Laura Thomsonmay , Milinda Abeykoon , Brookhaven Lab , Brookhaven National Synchrotron Light Source , Northwestern University , Columbia University , Advanced Materials , Brookhaven National Laboratory , National Synchrotron Light Source , Distribution Function , Deutsches Elektronen Synchrotron ,