This work addresses the estimation and calculation of the operating point of a network's link in a digital traffic network. The notion of operating point comes from effective bandwidth (EB) theory. The results shown are ...

This work addresses the estimation and calculation of the operating point of a networks link in a digital traffic network. The notion of operating point comes from Effective Bandwidth (EB) theory. The results are valid ...

In this paper we propose a family of robust estimators for generalized linear models. The basic idea is to use an M-estimator after applying a variance stabilizing transformation to the response. We show the consistency ...

A quantitative study of the robustness properties of the and the Huber M-estimator on finite samples is presented. The focus is on the linear model involving a fixed design matrix and additive errors restricted to the ...

This article addresses the various properties and different methods of estimation of the unknown parameters of Gompertz distribution. Although, our main focus is on estimation from both frequentist and Bayesian point of ...

We used variable-radius point counts and mist-netting to estimate forest bird abundances in the Maule Region of South Central Chile. Mist-netting detected a total of 25 species over 3 years and 3 seasons per year (Winter, ...

Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. This paper presents a ...

In this paper the point estimation method is applied to solve the probabilistic power flow problem for unbalanced three-phase distribution systems. Through the implementation of this method the probability distribution ...

In this paper the point estimation method is applied to solve the probabilistic power flow problem for unbalanced three-phase distribution systems. Through the implementation of this method the probability distribution ...