Examples of using Multivariate analysis techniques in English and their translations into Portuguese
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Data were analyzed using multivariate analysis techniques.
Multivariate analysis techniques are frequently used to examine landscape level vegetation patterns.
The analyses were conducted using multivariate analysis techniques and the software statistica statsoft 7.0.
Multivariate analysis techniques are increasingly being used for inferences on the dietary pattern DP in nutritional epidemiology.
This, in turn,consists in an exploratory method that uses multivariate analysis techniques to extract dietary patterns.
We used two multivariate analysis techniques: distended correspondence analysis(dca) and grouping analysis dendrogram.
To analyze the data collected, we used descriptive statistics and multivariate analysis techniques, for which we used SPSS 20.0® and Amos™ software.
The objective of this study systems of milk production was characterized in the regions of southeast andnortheast pará through the use of multivariate analysis techniques.
The data analysis occurred by multivariate analysis techniques: factor analysis, convergent validity, d.
The aim of this paper is to evaluate the inventory management of the retail footwear sector through multivariate analysis techniques and the optimal control theory.
The data was statistically analyzed using multivariate analysis techniques, specifically the structural equation modeling, which assist in the explanation of the phenomenon studied.
The activities were grouped into five structures and relationships among them were defined. they were evaluated according to their importance andby the way they are applied by means of multivariate analysis techniques.
The proposed classification was obtained by using multivariate analysis techniques, or more specifically the agglomerative hierarchical clustering.
Multivariate analysis techniques were applied on data obtained and it showed that rice crops cause changes in all soil attributes compared to the forest, with the exception of k and cu contents, metabolic and microbial(qmic) quotients and microbial biomass n.
The review searched for studies that evaluated dietary patterns using the a posteriori methodology only,which uses multivariate analysis techniques to extract the patterns, and that associated the pattern found with cardiometabolic risk factors in children and/or adolescents.
Multivariate analysis techniques have been used to study the relationship between displacement and environmental conditions, defined by the surface temperature of the concrete, ambient temperature and reservoir water level.
Data based on isobaric standard levels andstability indices have been submitted separately to multivariate analysis techniques in order to identify physical factors and verify the appropriateness of indices such as those of indicative of rain occurrences in the semiarid region.
Data analysis was carried out in three stages, namely: verification of the data completeness obtained in the local reporting tb system(tbweb),calculation of operational indicators from data which presented regular to satisfactory completeness and application of multivariate analysis techniques.
No study of genetic divergence was used multivariate analysis techniques that are based on cluster analysis, using two dissimilarity measures: distance euclidean standardized average and mahalanobis distance.
The most commonly used strategies to control confounding factors are: exclusion of individuals who have potentially confounding variables; pairing exposed and unexposed subjects;subgroup analysis and multivariate analysis techniques, in which the statistical models examine the potential effect of a variable while simultaneously controlling the effect of the others; participant s ample must be of sufficient size to answer the question of the study, minimizing the occurrence of errors.
In geosciences, multivariate analysis techniques find wide application, such as the cluster analysis, factor analysis, principal component analysis, multivariate regression analysis, discriminant analysis, and others andriotti, 1997.
In the study of genetic divergence was used multivariate analysis techniques based on cluster analysis, using two dissimilarity measures: euclidean distance and standardized mean mahalanobis distance.
Chemical analyses made in India,adopting multivariate analysis techniques, similarly to this present study, found differences in the quality of water in accordance with the rainy period: the pollution index in the pre-monsoon period was greater at 9.27 than in the post-monsoon period 8.74.
The factor analysis, multivariate analysis technique was used for structuring the model from the collected data and cronbach's alpha coefficient was used to measure the reliability of the original dimensio.
Logistic regression is a multivariate analysis technique that aims to explain the relationship between a random binary dependent variable and a set of independent predictive variables.
The data collected in this study were analyzed using the multivariate analysis technique, using multiple fact.
Researchers at the Federal University of Santa Maria in Santa Maria, Rio Grande do Sul, and the State University of Paraná, in Rondon, Paraná, Brazil,showed that it is possible to estimate the marbling intramuscular fat in beef from digital images using multivariate analysis technique.
To identify groups of variables/individuals with common characteristics that help to understand self-care,we conducted a cluster analysis which is a multivariate analysis technique able to produce homogeneous groups of individuals or variables, regarding one or more common characteristics.
This model uses techniques multivariate analysis(structural equation modeling- sem) and multicriteria method analytic hierarchy process- ahp.
Techniques of multivariate analysis were used for identifying and classifying the scanning mode in formal search and informal search.
