The aim of this study was the effectiveness of behavioral couple’s therapy to reduce domestic violence in women substance abusers. The design of this study was experimental with pre-test, pos-ttest and fallow up with control group. The study included all couples that had referred to Cessation clinic for substance abuse in Ahvaz city that among them 20 couples were selected and randomly di...

Recursive credibility estimation is discussed from the viewpoint of linear filtering theory. A conjunction of geometric mterpretation and the innovation approach leads to general algorithms not developed before. Moreover, covariance characterizations considered by other researchers drop our elegantly as a result of geometric considerations. Examples are presented of Kalman type filters valid fo...

In this article we focus on clustering techniques recently proposed for highdimensional data that incorporate variable selection and extend them to the modeling of data with a known substructure, such as the structure imposed by an experimental design. Our method essentially approximates the within-group covariance by facilitating clustering without disrupting the groups defined by the experime...

The ensemble Kalman filter (EnKF) approximates background error covariance by using a finite number of ensemble members. Although increasing the ensemble size consistently improves the EnKF analysis, typical applications of the EnKF to realistic atmospheric simulations are conducted with a small ensemble size due to limited computational resources. The finite ensemble size introduces a sampling...

Linear Discriminant Analysis (LDA) aims to transform an original feature space to a lower dimensional space with as little loss in discrimination as possible. We introduce a novel LDA matrix computation that incorporates confusability information between classes into the transform. Our goal is to improve discrimination in LDA. In conventional LDA, a between class covariance matrix that is based...

Integrated assessment models that combine geophysics and economics features are often used to evaluate environmental economic policies. In these models, there are often profound uncertainties and Monte Carlo simulations are often used to evaluate the policies. Generally, the simulation approach requires that the distribution of the uncertain parameters are clearly specified. In this paper, we a...

In this contribution, models of wireless channels are derived from the maximum entropy principle, for several cases where only limited information about the propagation environment is available. First, analytical models are derived for the cases where certain parameters (channel energy, average energy, spatial correlation matrix) are known deterministically. Frequently, these parameters are unk...