The problem of fault detection and isolation of parametric faults is considered in this paper. A fault detection problem based on parametric faults are associated with internal parameter variations in the dynamical system. A fault detection and isolation method for parametric faults is formulated in a standard setup and a synthesis method for the fault detector is given. Further, fault detectio...

in the present study an attempt has been made to use a non-parametric method data envelopment analysis (dea) for assessing source-wise and operation-wise the technical efficiency (te) and return-to-scale (rts) for paddy production in four zones of the state of punjab, india. the results were then compared to corresponding ones already obtained from a parametric method (cobb-douglas production f...

Aim To examine the biogeographical history of the angiosperm clade Caprifolieae (Caprifoliaceae) using parametric biogeographical reconstruction methods. The existing parametric method was extended to evaluate biogeographical reconstructions over the distribution of dated phylogenies. This method provides a framework for reconstructing large-scale biogeography with parametric methods, while acc...

In this paper, we propose a non-parametric method for state estimation of high-dimensional nonlinear stochastic dynamical systems. We combine diffusion maps, a manifold learning technique, with a linear Kalman filter and with concepts from Koopman operator theory. More concretely, using diffusion maps, we construct data-driven virtual state coordinates, which linearize the system model. Based o...

This paper presents a non-parametric MAP framework for tracking non-rigid video objects. We formulate the region tracking problem as a maximum a posteriori probability (MAP) problem and define the probabilistic models in terms of the distances between the intensity distribution of the object and that of its spatialand temporal-neighborhood. Furthermore, in order to better model the complex inte...

The importance of considering statistical power in marine pollution studies is unequivocal. However, the vast majority of ecological literature on power analysis focuses on parametric rather than non-parametric tests. This note describes a Monte Carlo simulation method for estimating the power of non-parametric tests. The method is illustrated using ordinal data.

the discharge data used for hydrological modeling should be the long-term suitable random data without trend and jump which is followed a specific statistical distribution. in this study, the above mentioned conditions were evaluated for 31 years period (1974-2004) of annual mean discharge data of 10 gauging stations of west azarbaijan province. for this purpose, the non-parametric spearman cor...

In this paper, we propose a parametric uniform approximation method to solve NP-hard absolute value equations. For this, we uniformly approximate absolute value in such a way that the nonsmooth absolute value equation can be formulated as a smooth nonlinear equation. By solving the parametric smooth nonlinear equation using Newton method, for a decreasing sequence of parameters, we can get the ...