Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes.  Small area estimation is needed  in obtaining information on a small area, such as sub-district or village.  Generally, in some cases, small area estimation uses parametric modeling.  But in fact, a lot of models have no linear relationship between the small area average and the covariat...

To efficiently cope with the high dimensionalities and complex nonlinear variations of face images in face recognition task, a novel manifold adaptive kernel local Fisher discriminant analysis algorithm is proposed in this paper. The core idea of this algorithm is as follows: First, the local manifold structure of the face image is modeled by a nearest neighbor graph. Then, an original input ke...

Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussians at each pixel [8], to kernel density estimates at each pixel [1], and more recently to joint domainrange density estimates that incorporate spatial information [7]. Another line of work has shown the benefits of in...

In comparison with entanglement and Bell nonlocality, Einstein-Podolsky-Rosen steering is a newly emerged research topic and in its incipient stage. Although Einstein-Podolsky-Rosen steering has been explored via violations of steering inequalities both theoretically and experimentally, the known inequalities in the literatures are far from well-developed. As a result, it is not yet possible to...

Pathfinding by nerve growth cones depends on attractive and repulsive turning in response to a variety of guidance cues. Here we present direct evidence to demonstrate an essential and instructive role for microtubules (MTs) in growth cone steering. First, both growth cone attraction and repulsion induced by diffusible cues in culture can be completely blocked by low concentrations of drugs tha...

New local linear estimators are proposed for a wide class of nonparametric regression models. The uniformly consistent regardless satisfying traditional conditions dependence design elements. the solutions specially weighted least-squares method. can be fixed or random and does not need to meet classical regularity independence conditions. As an application, several constructed mean dense funct...

lead to continuing effects for increasing extensive of yield by means of advanced agronomic operations and selection of high yielding resistant genotypes. there fore, due to evaluation and determination of best effective traits in improvement of yield and grain quality of local populations of winter wheat, an experiment was carried out in uremia agricultural research station, on 30 local popula...

Regional Original Revenue (ROR) is an income collected based on regional regulations under statutory regulations. ROR aims to give authority Governments sponsor the implementation of autonomy following potential. Every year, Central Lombok Regency government sets targets assist in formulating policies. The set by are sometimes not their realization. This study determine a model that can be used...