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Ajuste de un modelo VAR como predictor de los campos de anomalías de precipitación en centroamérica
Ajuste de un modelo VAR como predictor de los campos de anomalías de precipitación en centroamérica
(2012-04-26)
Cluster analysis was used to identify common patterns of 15 precipitation points of the region, using their anomaly time series as grouping variables. Five clusters where identified through this process. A Vector Auto ...
Métodos no estándar en el problema de la parada óptima
Métodos no estándar en el problema de la parada óptima
(2009-02-18)
We analize the optimal-stopping ploblem by the use of non standard analysis techniques. Using the non standard concept of quasi-optimal time, we prove the existence of optimal times for the problems of finite and infinite ...
Algoritmos de punto fijo usando subdivisiones simpliciales
Algoritmos de punto fijo usando subdivisiones simpliciales
(2009-02-18)
In this paper we study an algorithm for approximating fixed points using simplicial subdivisions of the simplex. Furthermore, it is compared with algorithms of primitive sets.
Geostatistical Spatio-Time model of crime in el Salvador: Structural and Predictive Analysis
Modelo Geoestadístico Espacio-Temporal del crimen en el Salvador: Análisis Estructural y Predictivo
(2011-07-26)
Today, to study a geospatial and spatio-temporal phenomena requires searching statistical tools that enable the analysis of the dependency of space, time and interactions. The science that studies this kind of subjects is ...
Some Aspects in n-dimensional almost Periodic functions iii
Some Aspects in n-dimensional almost Periodic functions iii
(2011-04-29)
The properties of almost periodical functions and some new results have been published in [CA1], [CA2] and [CA3] In this paper we show some new definitions in order to analize some singularities. For this functions we find ...
Curvas ROC y Vecinos Cercanos, Propuesta de un Nuevo Algoritmo de Condensación
Curvas ROC y Vecinos Cercanos, Propuesta de un Nuevo Algoritmo de Condensación
(2011-03-18)
k-NN criteria are non parametric methods of statistical classificaction. They are accurate, versatile and distribution free. However, their computational cost may be too expensive; especially for large sample sizes. We ...
On a variational principle for shape optimization and elliptic free boundary problems
On a variational principle for shape optimization and elliptic free boundary problems
(2009-02-18)
A variational principle for several free boundary value problems using a relaxation approach is presented. The relaxed Energy functional is concave and it is defined on a convex set, so that the minimizing points are ...
Análisis estadístico de datos categóricos ordenados
Análisis estadístico de datos categóricos ordenados
(2009-02-18)
Ordered categorical panel data is modeled assuming an underlying continuous-time finite-space Markov chain. The tridiagonal form of the intensity matrix renders the implementation of the maximum likelihood method more ...
Cognitive rhythms and evolutionary algorithms in university timetables scheduling
Ritmos cognitivos y algoritmos evolutivos en la programación de horarios universitarios
(2015-03-18)
The main purpose of this research is to design a methodology based on evolutionary algorithms to university timetable scheduling. This methodology will consider the students’ cognitive rhythms, which establish that teaching ...
Mmds and 2d scattering problem by cylindrical structure with piece-wise smooth boundary
Mmds and 2d scattering problem by cylindrical structure with piece-wise smooth boundary
(2009-02-20)
An universal modification of the method of discrete sources (MMDS) was appliedfor solving 2D Dirichlet or Neumann boundary problem when the scatterer’s contour isa piece-wise smooth contour. The problems of accuracy, ...