This paper establishes that when using a least squares criterion to estimate an output error type model structure, then the measurement noise induced variability of the frequency response estimate depends on the estimated (and hence also on the true) pole positions. This dependence on pole position is perhaps counter to prevailing wisdom that for any ‘shift invariant’ model structure, the varia...

this study investigated the dynamic relationship between money, prices and output in a multivariate structure of casualty analysis in iran for the two period of 1969 to 2012 (entire period) and 1989 to 2012 (sub-period). this statistical framework has been projected for situations where causal links may have changed over the sample period. results of a three-variable vector error correction mod...

among the food products, grains play an important role in the consumption patterns of people, especially in the developing countries. since iran's main source of public dietary energy comes directly from grains, investigating and identifying the determinants of import of these products can be an important step towards food security. most experimental studies consider import of grains as only a ...

in this article, the discrete time state space model with first-order autoregressive dependent process noise is considered and the recursive method for filtering, prediction and smoothing of the hidden state from the noisy observation is designed. the explicit solution is obtained for the hidden state estimation problem. finally, in a simulation study, the performance of the designed method ...

Hydrological models provide water managers with the available amount of water in the watershed. In this paper, we firstly developed a system dynamics model to calculate the available amount of water in the watershed. Then, we defined two scenarios one of which is the development scenario describing how land use changes can affect water availability in the watershed. Next, we divided the watersh...

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

this paper develops an analysis of budget deficit financing in termsof a crowding out or crowding in effect on the activity of the privatesector for the economies of iran and algeria as two mena countries,(because of its economic structures (dependence on oil revenue)) duringthe period 1970-2012 by using cointegration and vector errorcorrection approaches. the analysis confirms the existence of...