multivariate statistical analysis
MULTIVARIATE STATISTICAL ANALYSIS TO SUPPORT THE MINIMUM STREAMFLOW REGIONALIZATION
... on multivariate statistical analysis of principal components and cluster analysis, in order to identify the most representative variables in studies of minimum streamflow regionalization, and ...
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Comparative Estimation of Russia’s Regions Investment Potential on the Base of the Multivariate Statistical Analysis
... of multivariate statistical methods, determines the factors, reflecting regions investment ...using statistical dataй The article presents regions’ classification on the basis of the integral indexй ...
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MULTIVARIATE STATISTICAL ANALYSIS AND USE OF GEOGRAPHIC INFORMATION SYSTEMS IN RAW WATER QUALITY ASSESSMENT
... Water samples were collected monthly (August 2012 to March 2013), in periods without precipitation, to avoid the influence of this variable in the data analysis. The collection period includes all seasons of the ...
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Multivariate statistical analysis of some traits of bread wheat for breeding under rainfed conditions
... component analysis (PCA) and factor analysis were used for understanding the data structure and trait ...factor analysis divided the eighteen traits into five factors and the first factor included ...
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Idosas fisicamente ativas dormem mais e melhor que idosas sedentárias
... Physical active elderly women have longer total sleep time and better sleep quality: the roles of sleep logs and the visual analog scale. Applied multivariate statistical analysis[r] ...
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Clustering of groundwaters by Qmode factor analysis according to their origin: A case study of the Cariri Valley (Northern Brazil) wells
... The varimax rotated factor-loading matrix is shown in Table 2 (where only factors with modulus greater than 0.24 are represented). The irst factor explains 26% of total variance, the second, 20% and the third, 16%, total ...
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Fish canning industry wastewater variability assessment using multivariate statistical methods
... a pre-treatment of their wastewaters, usually by screening, fil- tration and/or decanting to remove coarse particles (Cristóvão et al., 2014). However, there is a need to consider the treatment of these wastewaters in ...
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Ananda Borjaille Cruz2 ; Maria Ângela de Barros Correia Menezes 1, 3
... activation analysis and these values were considered variables in the multivariate statistical analysis for the identification of the main sources of particle emission and their ...
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J. Braz. Chem. Soc. vol.23 número9
... a multivariate statistical analysis of the quantitative structure-activity relationships (QSAR) in a group of sixteen 2-(substituted phenyl)indan- 1,3-diones possessing hypolipidemic ...
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Multivariate analysis of marketing data - applications for bricolage market
... and multivariate statistical analysis is that it provides more powerful instruments that allow researchers to discover relationships between multiple configurations of the relationship between ...
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MULTIVARIATE ANALYSIS OF THE ENDANGERED MEDICINAL SPECIES
... use multivariate methods to study ecological relations of ...species analysis (TWINSPAN) and canonical correspondence analysis (CCA) was used in ...
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Water quality index using multivariate factorial analysis
... Factorial analysis thus permits the definition of more sensitive indicators, which can facilitate a monitoring program as well as the evaluation of changes that have taken place in the water ...factorial ...
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Power Estimation in Multivariate Analysis of Variance
... retrospective (post hoc) power estimation. Power is important for design, not analysis (Lenth, 2001). Since studies can be statistically significant yet clinically insignificant; time should be spent on what is ...
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The Statistical Analysis of fMRI Data
... sign according to the specified criteria. When defin- ing the fitness metrics it is typically assumed that the subsequent data analysis will be performed in the gen- eral linear model (GLM) framework described in ...
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Univariate and multivariate statistical tools for in vitro conservation of citrus genotypes
... The multivariate approach was used, considering the statistical model of completely randomized design in a split plot design in order to obtain the estimate of the partial correlation coefficients between ...
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Tópicos para uma boa análise de dados de estudos empíricos.
... data analysis process around seven critical topics: a) Distinguishing between a statistical model, a statistical technique and a statistical receipt; b) Sampling and Design’s implications for ...
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Statistical Analysis of Face Recognition Technique
... Face recognition is a nonintrusive method, and facial images are probably the most common biometric characteristic used by humans to make a personal recognition. The applications of facial recognition range from a ...
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THE WORLD OIL MARKET – STATISTICAL ANALYSIS
... comparative analysis of the different world regions’ situation starting with 1980 trough the end of the Cold War and from 1992 to the ...The analysis led to the conclusion that there are strong ...
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Identification Using Classification Analysis of Flunitrazepam in Necrophagous Larvae via Differential Pulse Voltammetry and Fluorescence Excitation-Emission Matrix (EEM) Spectroscopy
... with multivariate classification may be an alternative tool for the detection of flunitrazepam in necrophagous ...forensic analysis of larval extract, having a minimum sample preparation and with a small ...
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Mat. Res. vol.10 número1
... regression analysis and analysis of variance (ANO- VA) were used for processing the experimental ...a statistical analysis is common practice to use codified values to the different ...
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