Discovering statistical structure from links is a fundamental problem in the analysis of social networks. Choosing a misspecified model, or equivalently, an incorrect inference algorithm will result in an invalid analysis or even falsely uncover patterns that are in fact artifacts of the model. This work focuses on unifying two of the most widely used link-formation models: the stochastic block...

Background Medication errors are known as a preventable cause of idiopathic damage in pediatrics. These errors could entail serious direct and indirect outcomes that often lead to disruptions in the health care system. The present study aimed to determine the relationship between medication errors with job satisfa...

Given two distributions over an n element set, we wish to check whether these distributions are statistically close by only sampling. We give a sublinear algorithm which uses O(n2/3ǫ−4 logn) independent samples from each distribution, runs in time linear in the sample size, makes no assumptions about the structure of the distributions, and distinguishes the cases when the distance between the d...

the main objective of this paper is to study climate changes and fluctuations in the four synoptic stations in sistan and baluchistan province in the past few years and to analyze statistically and simulate and forecast for the next years (2040-2009). this study used data from the outputs of general circulation climate model echo-g with a1 scenario that are now used at the university of hamburg...

introduction climate change generally affect all economic sectors, but the agricultural sector is the most sensitive and vulnerable sector, because crops are highly dependent on climatic resource. according to the scientific evidences, climate change in the future, especially the combined effects of rising temperatures and rising co2 concentrations in the atmosphere and increase the likelihood ...