this study employs a gmdh neural network model, which has high capability in recognition of complicated non-linear trends especially with small samples, for modeling and predicting iranian gdp growth. first a fundamental model containing 7 independent variables together with dependent variable is designed and then by using deductive process and omission of one variable at a time, a total of 18 ...

Presence of optical aberrations degrades the performance system. These effects can be reduced by inserting proper amplitude filters. In current study, suitable amplitude-apodization pupils have been used for tailoring point spread function (PSF), in order to attain full-width at half-maximum (FWHM) and suppressed side lobes. Intensity profiles unapodized variable apodized cases considered. By c...

spatial patterns of soil fertility parameters, and other extrinsic factors need to be iden-tified to develop farming practices that match agricultural inputs with local crop needs. little is known about the spatial structure of yield and weed density across fields. in this study, geostatistics was used to describe and map spatial patterns of soil total nitrogen, available phosphorus, available ...

We consider a stochastic game between three types of players: an inside trader, noise traders and market maker. In similar fashion to Kyle's model, we assume that the insider first chooses size her market-order then maker determines price by observing total order-flow resulting from transactions. addition classical framework, revenue term is added maker's performance function, which proportiona...

liquidity is the most important aspect of stock markets development. this research investigates the effect of share issue privatization (sip) on tehran stock exchange (tse) liquidity. regarding the three assessable measures in sip, three hypotheses based on the number of privatized firms, the volume and the value of the sold stocks were defined and tested. in this research, the tse liquidity is...