In this study we use cointegration methods to investigate the relationship between the variables of the Ohlson model (stock price, earnings per share and book value) with panel data. The cointegration tests were applied at individual and group level (by…

We describe a technique for using Bode plots in microscopic interferometry, in particular as applied to the three Gaussian beam interferometer recently reported in the literature. The technique is used in a similar manner to its application to an electric…

THE CONSTRUCTION OF MAPS OF SOCIAL NETWORKS IS SHOWN BASED IN THE JOURNAL OF DOCUMENTATION DURING THE PERIOD 1988-2005. THE ANALYSIS IS MADE BY: (I) AUTHORS THAT PRODUCE THE MOST WITHIN THE PUBLICATION, (II) AUTHORS WITH THE GREATEST CENTRALITY AND…

En este trabajo se presentan los tres tipos de comportamiento temporal de estrellas de bosones esféricamente simétricas, es decir: configuraciones estables, inestables que colapsan para formar agujeros negros e inestables que explotan. Estas tres posibilidades han sido predichas por la…

The proper orthogonal decomposition (POD) is shown to be an efficient model reduction technique for simulating physical processes governed by partial differential equations. In this paper, a POD reduced model of a barotropic ocean circulation for coastal region domains was…

Se investigó el efecto de la absorción móltiple de fotones en la ionización, MPI, y disociación, MPD, del Naftaleno. Para ello se utilizó radiación láser de 266 nm con anchos de pulso de 4.5 ns, e intensidades del orden de…

In some industries such as logistics services, bank services, and others, the use of automated systems that deliver critical business information anytime and anywhere play an important role in the decision making process. This paper introduces a “Generic model to…

DATA QUALITY IS DEGRADED DURING THE PROCESS OF EXTRACTING AND MERGING DATA FROM MULTIPLE HETEROGENEOUS SOURCES. BESIDES, USERS HAVE NO INFORMATION REGARDING THE QUALITY OF THE ACCESSED DATA. THIS DOCUMENT PRESENTS THE METHODS UTILIZED TO ASSESS DATA QUALITY AT MULTIPLE…

The k nearest neighbor (k-NN) classifier has been extensively used in Pattern Recognition because of its simplicity and its good performance. However, in large datasets applications, the exhaustive k-NN classifier becomes impractical. Therefore, many fast k-NN classifiers have been developed;…

Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network nodes, as well as the presence of both continuous and discrete variables, noisy information and lack or excess of data.…