buerger's disease or thromboangiitis obliterans (tao) seems to be common in ir iran, the present study aimed to evaluate an iranian population with buerger's disease in order to suggest a diagnostic criterion for buerger's disease based on the most frequent findings and to compare it with papa diagnostic criteria. in a cross-sectional study, all patients with resting limb pain, limb ischemic ul...

Local canonical correlation analysis (CCA) is a multivariate method that simultaneously analyzes the timecourses of a group of neighboring voxels and has been demonstrated to be more sensitive than the conventional univariate GLM approach. However, unlike the general linear model (GLM), an arbitrary linear contrast of the temporal regressors has not been so far incorporated in the CCA formalism...

The aim of the present study was the development of species-habitat models for four Magelona species (Polychaeta: Magelonidae) found in the German Bight in the SE North Sea. Analyses were based on field data and data obtained from reexamination of material deposited in museum collections. In addition, data on environmental variables were retrieved from the sediment map by Figge (1981) and from ...

Modeling data with multivariate count responses is a challenge problem due to the discrete nature of the responses. Such data are commonly observed in many applications such as biology, epidemiology and social studies. The existing methods for univariate count response cannot be easily extended to the multivariate situation since the dependency among multiple responses needs to be properly acco...

Reduction of species diversity which is a significant threat to the earth has been found more important and has attracted attention among ecologists over recent years. This research was carried out to determine the relationships between plant species diversity indices and soil properties by multivariate regression methods in Jamilabad region, Baft, Kerman province, Iran in 2016. Different sites...

In this paper we consider the estimation of the error distribution in a heteroscedastic nonparametric regression model with multivariate covariates. As estimator we consider the empirical distribution function of residuals, which are obtained from multivariate local polynomial fits of the regression and variance functions, respectively. Weak convergence of the empirical residual process to a Ga...