This study uses a sample of 71 countries and nonparametric quantile and partial regressions to model a number of threatened species (reptiles, mammals, fish, birds, trees, plants) in relation to various economic and environmental variables (GDPc, CO¬2 emissions, agricultural production, energy...

The formation of the European Union (EU) is the one of the biggest political – economic events of the last 50 years. The aim of this study is to develop EU economy functioning system dynamic model. Main research method is system dynamics. General scheme of EU economy system dynamic model is...

Mandelbrot has recently proposed that the distribution of income might be described by a class of mathematical processes called Stable Paretian functions. These functions have many of the desirable properties of Gaussian distributions but they have infinite variance, which has implications for...

This paper aims to analyze, utilizing scanner data, the relationships of competitive interdependency in the extra-virgin olive oil sector in Italy. One of the most important aspects of the competitiveness analysis is the concept of competitive interdependency, as the competitive performances of...

This book approaches the elementary statistical concepts. It presents also some statistical methods of collecting and analysis of data.

Starting from inhomogeneous time scaling and linear decorrelation between successive price returns, Baldovin and Stella recently devised a model describing the time evolution of a financial index. We first make it fully explicit by using Student distributions instead of power law-truncated Levy...

It is claimed that introducing flexibility in regulation is a sufficient condition for curbing the level of informality in the developing world. This dissertation tries to test the validity of this claim using data for 46 countries over the time period 1980-2008 to explore the dynamics between...

In this paper IS-LM model, has been introduced as time series model. Standard VAR, VECM test have been applied .Three variables that we estimated were: logarithm of real GDP (q), 3 month interbank interest rate (i), real monetary base (m).VECM mechanism shows that if the system is in...

SPSS customers combine predictive analysis with their business knowledge to get insight s critical customer acquisition and retention, up-selling and cross-selling, fraud detection and optimization services for patients.

Generalized autoregressive heteroskedasticity (GARCH) models are widely used to reproduce stylized facts of financial time series and today play an essential role in risk management and volatility forecasting. But despite extensive research, problems are still encountered during parameter...