it is necessary to use empirical models for estimating of instantaneous peak discharge because of deficit of gauging stations in the country. hence, at present study, two models including artificial neural networks and nonlinear multivariate regression were used to predict peak discharge in taleghan watershed. maximum daily mean discharge and corresponding daily rainfall, one day antecedent and...

A significant problem associated with the implementation of Vibration-Based Structural Health Monitoring (VSHM) systems originates from detrimental effects caused by Environmental and Operational Variations (EOVs). The EOVs cause observations same structural condition to behave in different manners. As such, this leads issues when defining a robust baseline state as well making discrimination b...

In this work, we consider a multivariate regression model with one-sided errors. We assume for the function to lie in general Hölder class and estimate it via nonparametric local polynomial approach that consists of minimization integral approximation lying above data points. While consideration covariates offers an undeniable opportunity from application-oriented standpoint, requires new metho...