Abstract Consider a set of n vertices, where each vertex has location in $\mathbb{R}^d$ that is sampled uniformly from the unit cube , and weight associated to it. Construct random graph by placing edges independently for pair with probability function distance between locations weights. Under appropriate integrability assumptions on edge probabilities imply sparseness model, after appropriatel...

background:although intellectual disability (id) is a common disability in iran, there is no investigation on the spatial distribution pattern of these patients in national level and the spatial maps for recognition the areas with higher prevalence of ids and local neighborhoods of these regions or effect of socio-demographic factor on this scattering is not still available. this proposition mo...

In this paper, empirical mode decomposition technique is used to analyze the spatial slip distribution of five past earthquakes. It is shown that the finite fault slip models exhibit five empirical modes of oscillation. The last intrinsic mode is positive and characterizes the non-stationary mean of the slip distribution. This helps in splitting the spatial variability of slip into trend and th...

We illustrate and discuss several general issues associated with the random component of utility, or more generally ‘‘unobserved variability’’. We posit a general conceptual framework that suggests a variance components view as an appropriate structure for unobserved variability. This framework suggests that ‘‘unobserved heterogeneity’’ is only one component of unobserved variability; hence, a ...