Boletín estadístico de América Latina, agosto 1964 = Statistical bulletin for Latin America, August 1964

Incluye Bibliografía

Boletín estadístico de América Latina, marzo 1964 = Statistical bulletin for Latin America, March 1964

Incluye Bibliografía

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.