Boletín estadístico de América Latina, marzo 1971 = Statistical bulletin for Latin America, March 1971

Incluye Bibliografía

Boletín estadístico de América Latina, octubre 1971 = Statistical bulletin for Latin America, October 1971

Incluye Bibliografía

Boletín estadístico de América Latina, junio 1972 = Statistical bulletin for Latin America, June 1972

Incluye Bibliografía

Boletín estadístico de América Latina, septiembre 1969 = Statistical bulletin for Latin America, September 1969

Incluye Bibliografía

Boletín estadístico de América Latina, marzo 1969 = Statistical bulletin for Latin America, March 1969

Incluye Bibliografía

Boletín estadístico de América Latina, septiembre 1968 = Statistical bulletin for Latin America, September 1968

Incluye Bibliografía

Boletín estadístico de América Latina, marzo 1968 = Statistical bulletin for Latin America, March 1968

Incluye Bibliografía

Boletín estadístico de América Latina, septiembre 1967 = Statistical bulletin for Latin America, September 1967

Incluye Bibliografía

A statistical analysis of loss factor to determine the energy losses

Given that the total amount of losses in a distribution system is known, with a reliable methodology for the technical loss calculation, the non-technical losses can be obtained by subtraction. A usual method of calculation technical losses in the electric utilities uses two important factors: load factor and the loss factor. The load factor is usually obtained with energy and demand measurements, whereas, to compute the loss factor it is necessary the learning of demand and energy loss, which are not, in general, prone of direct measurements. In this work, a statistical analysis of this relationship using the curves of a sampling of consumers in a specific company is presented. These curves will be summarized in different bands of coefficient k. Then, it will be possible determine where each group of consumer has its major concentration of points. ©2008 IEEE.

Statistical quark model for the nucleon structure function

A statistical quark model, with quark energy levels given by a central linear confining potential is used to obtain the light sea-quark asymmetry, d̄/ū, and also for the ratio d/u, inside the nucleon. After adjusting a temperature parameter by the Gottfried sum rule violation, and chemical potentials by the valence up and down quark normalizations, the results are compared with experimental data available. © 2009 American Institute of Physics.

2010-2011 programme of work of the working groups of the Statistical Conference of the Americas of ECLAC

Includes bibliography

Report on the coordination of international statistical activities in the area of the environment

Includes bibliography.

Improved statistical quark model for the nucleon structure function

An improved statistical quark model, with quark energy levels given by a central linear confining potential, is used to obtain the light sea-quark asymmetry, d̄/ū, and also for the corresponding difference d̄-ū, inside the nucleon. In the model, a temperature parameter is adjusted by recent results obtained for the Gottfried sum rule violation, with two chemical potentials adjusted by the valence up and down quark normalizations. The results are compared with available recent experimental data. © 2010 American Institute of Physics.

ANN statistical image recognition method for computer vision in agricultural mobile robot navigation

The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. Thereby, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for image recognition. Hence, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave computational platforms, along with the application of customized Back-propagation Multilayer Perceptron (MLP) algorithm and statistical methods as structured heuristics methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of segmented images in which reasonably accurate results were obtained. © 2010 IEEE.