Small area estimation is conventionally concerned with the estimation of small area averages and totals. More recently emphasis has been also placed on the estimation of poverty indicators and of key quantiles of the small area distribution function using robust models for example, the M-quantile small area model (Chambers and Tzavidis, 2006). In parallel to point estimation, Mean Squared Error...

The inclusion of computational thinking skills into the PISA assessment is a new challenge for Indonesian students. One most important roles in process problem solving has not been widely applied by students due to learning obstacle. This study was qualitative research with phenomenological approach identify obstacles junior high school statistics material related skills. instruments used were ...

Stein’s method compares probability distributions through the study of a class linear operators called Stein operators. While mainly studied in and used to underpin theoretical statistics, has led significant advances computational statistics recent years. The goal this survey is bring together some these developments, doing so, stimulate further research into successful field statistics. topic...

Quantum particle statistics fundamentally controls the way particles interact and plays an essential role in determining properties of system at low temperature. Here we study how quantum affects computational power annealing. We propose annealing Hamiltonian describing moving on a square lattice compare performances atomic annealers between two statistically different components: spinless ferm...