الفهرس 
PrefaceOnly 14 pages are availabe for public view
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Abstract
For achieving this purpose, we suggest a theoretical approach assume a new standard and virtual model based on the generalized multivariate elliptical distribution in our case (multivariate generalized Gaussian distribution briefly called MGGD) characterize by many statistical properties such as the fat tail, similarity and other statistical inference procedures. After selecting a generalized multivariate elliptical contoured distribution, generate a random number by affine transformation and two new methods and plot, fit and estimate the parameters. Transform this obtained data to the random walk process for study influence of reflective barriers. Transform data in the previous step into the multivariate Hazem copula distribution for study the dependency. Now we have made a new scale called (Smart Mixture Scale for Complexity) or briefly SMSFC. We present this new paradigm, after studying its properties and implement it in empirical phenomena, this an interesting attempt, it was hoped through it leads to building the idealistic quantitative model reality show more accurately to effective, non-misleading and the real measurement of the phenomena and complex systems. It should be noted to get strong and accurate results must be the availability of the necessary data, which fall mostly under top secret, and responsibility obtained or even view them.