forecasting stock price had been paying attention to many analysts and stockholders. today, this issue more recent years has been do by new methods but new methods, good enough, not have analysis of description and changes effective variables on stock price whereas all this method rely on regression bases. ardl (autoregression distributed lag ) of one equation cumulative regression method obtai...

recordings of ambient noise or microtremors are increasingly used to find valuable information on soil in one dimension at a given site. ambient vibrations, which are assumed to be mainly composed of surface waves, can be used to determine the surface wave dispersion curve in order to retrieve shear wave velocity profile. in this regard, microtremors are usually recorded simultaneously in an ar...

time-delay identification is one of the most important parameters in designing controllers. in the cases where the number of inputs and outputs in a system are more than one, this identification is of great concern. in this paper, a novel autocorrelation-based scheme for the state variable time-delay identification for multi-input multi-output (mimo) system has been presented. this method is ba...

Any physical quantity that varies with time is a signal. Examples from physiology are: an electrocardiogram (ECG), an electroencephalogram (EEG), an arterial pressure waveform, and a variation of someone’s blood glucose concentration along time. In Fig. 1, one can see examples of two signals: an electromyogram (EMG) in (a) and the corresponding force in (b). When a muscle contracts, it generate...

Experimental data from a turbulent jet flow is analysed in terms of an additive, continuous stochastic process where the usual time variable is replaced by the scale. We show that the energy transfer through scales is well described by a linear Langevin equation, and discuss the statistical properties of the corresponding random force in detail. We find that the autocorrelation function of the ...

environmental kuznets curve (ekc) is one of the known concepts in environmental economics developed dramatically over the last twenty years ago. one of the advances in studying the relationship between economic growth and environmental quality is concerning the spatial autocorrelation of ecological phenomena. the rationale behind spatial environmental kuznets curve (sekc) is similar to ekc incl...

BACKGROUND Independence between observations is a standard prerequisite of traditional statistical tests of association. This condition is, however, violated when autocorrelation is present within the data. In the case of variables that are regularly sampled in space (i.e. lattice data or images), such as those provided by remote-sensing or geographical databases, this problem is particularly a...