movement of pesticides through soils to groundwater and surface water has long been considered a potentially serious environmental problem in different parts of the world. remediation of such problems requires monitoring of site specific data. considering these facts a laboratory based investigation was carried out to determine the sorption and leaching parameters of two contrasting and widely ...

planar d-bar integral equation is one of the inverse scattering solution methods for complex problems including inverse conductivity considered in applications such as electrical impedance tomography (eit). recently two different methodologies are considered for the numerical solution of d-bar integrals equation, namely product integrals and multigrid. the first one involves high computational ...

We describe a general framework --compressive statistical learning-- for resource-efficient large-scale learning: the training collection is compressed in one pass into low-dimensional sketch (a vector of random empirical generalized moments) that captures information relevant to considered learning task. A near-minimizer risk computed from through solution nonlinear least squares problem. inve...

In this paper a new character description method, based on the combination of structural and statistical approaches, is presented. Characters are preliminarily decomposed in terms of structural primitives (circular arcs) and successively described in terms of statistical features (geometric moments). The obtained description is much more stable and yields significant improvements in classificat...

The moment method is a well known mode identification technique in asteroseismology (where ‘mode’ is to be understood in an astronomical rather than in a statistical sense), which uses a time series of the first 3 moments of a spectral line to estimate the discrete oscillation mode parameters l and m. The method, contrary to many other mode identification techniques, also provides estimates of ...

One of the most important problems in time series analysis of stream flow and rainfall data in an area is selecting the best probability distribution. Since the rainfall stations are associated and correlated with each other, so statistical analysis of the station data seamlessly are very important. Therefore, the first step in data analysis, is selecting the prevailing probability distribution...

This paper presents a dimensional decomposition method for obtaining probabilistic descriptors of realvalued eigenvalues of positive semi-definite random matrices. The method involves a novel function decomposition allowing lower-variate approximations of eigenvalues, lower-dimensional numerical integration for statistical moments, and Lagrange interpolation facilitating efficient Monte Carlo s...