The data distribution of the multidimensional array sensor is unbalanced in sample collection. To improve clustering ability samples, a density method sparse scattered points and multisensor samples based on analysis characteristics proposed. network’s collection structure created using Voronoi polygon topology. By analyzing parameters between classes reconstructing characteristic space sequenc...

Ecological studies typically involve comparison of biological responses among a variety of environmental conditions. When the response variables have continuous distributions and the conditions are discrete, whether inherently or by design, then it is appropriate to analyze the data using analysis of variance (ANOVA). When data conform to a complete. balanced design (equal numbers of observatio...

Unbalanced group-level models are common in neuroimaging. Typically, data for these models come from factorial experiments. As such, analyses typically take the form of an analysis of variance (ANOVA) within the framework of the general linear model (GLM). Although ANOVA theory is well established for the balanced case, in unbalanced designs there are multiple ways of decomposing the sums-of-sq...

Several approaches exist for the estimation of technical efficiency. In this paper the four most relevant ones (Data Envelopment Analysis, Stochastic Production Frontiers, Panel Data and Distance Functions) have been compared. The different approaches have been applied to the to the Spanish Trawl fishery that operated in Moroccan waters. The study highlights some of the problems arising from th...

confirmation of convergence hypothesis among provinces, its role in removing divergence among regions and achieving regional convergence is one of the important issues in macroeconomics. the aim of the present study is to examine absolute and conditional income convergence hypotheses among iranian provinces during the period 2000-2010 using panel data. the hypotheses are tested for the whole pr...