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201.356  Articles
1 of 20.137 pages  |  10  records  |  more records»
This report introduces a new computer program, having been developed initially at the Nuclear Research Institute at Dalat, for the multivariate data analysis techniques. In this preliminary version of the program, the size of a given data set to be analyz... see more

Spatial variability in the climate of México City was studied using multivariate methods to analyze 30 years of meteorological data from 37 stations (from the Servicio Meteorológico Nacional) located within the city. Although it covers relatively smal... see more

Understanding atmospheric phenomena involves analysis of large-scale spatiotemporal multivariate data. The complexity and heterogeneity of such data pose a significant challenge in discovering and understanding the association between multiple climate var... see more

Understanding atmospheric phenomena involves analysis of large-scale spatiotemporal multivariate data. The complexity and heterogeneity of such data pose a significant challenge in discovering and understanding the association between multiple climate var... see more

Soil water content is an important variable in the understanding of hydrology in agricultural and environmental systems in a region. It is known that soil moisture is related to soil characteristics, porosity, depth, hydraulic conductivity, among others, ... see more

AbstractThe hunting tactics of male and female leopards in the southern Kalahari were analysed for prey-specific patterns. The field study was based on tracking leopard spoor in the sandy substrate of the Kalahari. Visual profiles for each type of prey we... see more

Implementation of anti -D prophylaxis significantly reduced the degree of allogenic immunization (AI), while this method of prevention is not universal. According to the data of different authors, about 0.3% of Rh (D) - negative women still become Rh (D) ... see more

Technological advances have contributed to applications of nonparametric methodologies with the objective of predicting slope stability conditions. The objective of this paper was to determine a discriminant function capable of predicting the stability co... see more

Data analysis is important in determining the origin of heavy metals accumulated in reservoir areas of lakes built for irrigation and understanding their toxic effects around agricultural areas. The aim of the study is to determine the behaviors of the he... see more

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