<span>The paper presents a new step-by-step procedure for constructing navigation satellite motion model. At the first stage of procedure, parameters radiation pressure model are estimated using maximum likelihood method. The statistic estimator based on continuous-discrete adaptive unscented Kalman filter is proposed solar estimation. Step-by-step scheme filtering algorithm used software...

this paper investigates the relationship between inflation and inflation uncertainty for the period of 1990-2009 by using monthly data in the iranian economy. the results of a two-step procedure such as granger causality test which uses generated variables from the first stage as regressors in the second stage, suggests a positive relation between the mean and the variance of inflation. however...

Purpose: Transanal one-stage Soave (TOS) procedure is the most recently reported procedure for Hirschsprung’s disease. This study was performed to compare the surgical outcomes of TOS with those of modified Duhamel procedure. Methods: The study populations were 17 consecutive patients who underwent TOS procedure between March, 2003 and February, 2008 (TOS group) and 19 consecutive patients who ...

hyperspectral data potentially contain more information than multispectral data because of their higher spectral resolution. however, the stochastic data analysis approaches that have been successfully applied to multispectral data are not as effective for hyperspectral data as well. various investigations indicate that the key problem that causes poor performance in the stochastic approaches t...

This paper investigates the relationship between inflation and inflation uncertainty for the period of 1990-2009 by using monthly data in the Iranian economy. The results of a two-step procedure such as Granger causality test which uses generated variables from the first stage as regressors in the second stage, suggests a positive relation between the mean and the variance of inflation. However...

We propose a two-stage stochastic variational inequality model to deal with random variables in variational inequalities, and formulate this model as a two-stage stochastic programming with recourse by using an expected residual minimization (ERM) solution procedure. The solvability, differentiability and convexity of the two-stage stochastic programming and the convergence of its sample averag...