In the present paper, Sheldon's Somatogram is matematically analyzed in view to the statistical analysis proposed by Carter et al. (1983). The validation of the somatotype dispersion distance (SDD) and the somatotype attitudinal distance (SAD) is cuestionated as the basis…

This paper presents a general image of the coastal landsrape. A description of settlement patterns on the coasts of Tabasco and campeche is presented, based on archeological and historical data, and different types of habitats in the region are classified.,…

This article is the result of a seminar held by J.J. Parsons, in 1989, at the Institute of anthropological Research of the Nacional University of Mexico. The paper makes reference to an archaeological diagnose of the Basin of Mexico from…

Many of the works dedicated to Zapotec as well as typology suggest that this language possesses a dominant or neutral VSO (verb-subject-object) order. However not all are in agreement, especially because. of particular syntactic behavior and probably for dialectical reasons.…

Resumen

En este trabajo se dan a conocer algunos tipos de mutilación dental nuevos, hallados en una excavación en Cholula, Puebla., ,

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…

Se evaluaron un total de 984 sujetos adultos normales con la Batería Neuropsicológica de Luria Nebraska (Versión Portuguesa Experimental – Maia, 2006). Se seleccionaron al azar sujetos de la población portuguesa que voluntariamente aceptaron participar en este proyecto. Todos los…

, En este trabajo se realizó un análisis somatométrico en una población de estudiantes universitarios de la UNAM, con el propósito de obtener medidas corporales y construir una mesa banco que este más acorde a las proporciones corporales de esta…

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;…