Multivariate statistical
Chemical Characteristics Combined with Bioactivity for Comprehensive Evaluation of Tumuxiang Based on HPLC-DAD and Multivariate Statistical Methods
... a multivariate analysis technique so as to find relatively homogeneous clusters in view of the characteristics of the ...from multivariate raw data by transforming and reducing the dimensions of the ...
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EXPLORATORY MULTIVARIATE STATISTICAL METHODS APPLIED TO PHARMACEUTICAL INDUSTRY CRM DATA
... using multivariate statistical techniques in pharmaceutical CRM, when simple descriptive statistics seem to be insufficient to provide the best business direction in a market that must study more deeply the ...
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MULTIVARIATE STATISTICAL ANALYSIS AND USE OF GEOGRAPHIC INFORMATION SYSTEMS IN RAW WATER QUALITY ASSESSMENT
... This study aimed to apply a methodology for evaluating raw water quality and its relationship with land uses and occupations through multivariate statistical analysis and Geographic Information System. ...
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Determination of the genetic variation in Ajowan (Carum Copticum L.) populations using multivariate statistical techniques
... Multivariate statistical techniques, such as cluster analysis and PCA, which simultaneously analyse multiple measurements for each individual that is under investigation, are widely used in the analysis of ...
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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 of some traits of bread wheat for breeding under rainfed conditions
... 2012). Statistical analysis of agronomic traits could be informative in wheat breeding program, because agronomic traits are a reflection of gene ...Different statistical procedures have been used in ...
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Multivariate Statistical Evaluation of Ionic Liquids Features for CO 2 Capture
... [1]. Multivariate statistical approaches are useful to provide screening and optimization of several variables at same time [5], and was used in this study to evaluate information retrieved from the ...
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Regional-scale identification of groundwater-surface water interaction using hydrochemistry and multivariate statistical methods, Wairarapa Valley, New Zealand
... and multivariate statistical methods has been neglected at a regional or multi-watershed scale, despite the availability of extensive regional hydrochemical datasets from both groundwater and surface water ...
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Genetic dissimilarity of putative gamma-ray- induced ‘Preciosa - AAAB-Pome type’ banana (Musa sp) mutants based on multivariate statistical analysis
... Multicategoric and quantitative data for the second cycle of putative mutant “Pre- ciosa” banana production were used in this study. “Preciosa” is a Pome-type banana cultivar with resistance to yellow Sigatoka and ...
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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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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 to optimize ...
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Correlation, by multivariate statistical analysis, between the scavenging capacity against reactive oxygen species and the bioactive compounds from frozen fruit pulps
... Brazil is the third largest producer of fruits in the world. In 2010, the production reached over 42 million tons (KIST et al., 2012), from which about 53% were destined for processing and 47% for fresh consumption. ...
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ARTIGO_Application of multivariate statistical on quality of amazon honey from Apis sp. vs Melipona sp
... The physicochemical and microbiological parameters of all the samples were adequate for use and consumption. The honey of Apis sp. and Melipona sp., through the analysis of PCA and HCA, presented a significant degree of ...
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Multivariate statistical analysis applied to the evaluation of groundwater quality in the central-southern portion of the state of Bahia - Brazil
... The objective of this study was to identify and evaluate the variables responsible for contributing to possible natural and/or human contamination in groundwater of the semiarid region of the state of Bahia, seeking to ...
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Analysis of gene expression in adipocytes of individuals with metabolic syndrome by multivariate statistical methods
... this statistical reason, biology tells us that these genetic systems are complex and have a great amount of interactions, some with mechanistical explanations and others as collateral ...
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Relevance of hydrological variables in water-saving efficiency of domestic rainwater tanks: multivariate statistical analysis
... They found that the depth, intensity, and duration of rainfall were weakly correlated with sys- tem performance, as shown by the corresponding coefficient deter- mination of the regressi[r] ...
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MICROMORPHOLOGICAL OBSERVATION OF EUCALYPTUS SEEDS, MULTIVARIATE STATISTICAL ANALYSES AND MODELING OF THEIR GERMINATION UNDER SALT STRESS AND OSMOTIC CONSTRAINT
... Pearson coefficient=0.827). Velocity index and osmotic potential were negatively correlated (P< 0.001; Pearson coefficient=-0.509). The morphological traits of seeds have no effect on the germination rate, average ...
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Efficient screening of variable subsets in multivariate statistical models
... No attempt will be made here to deal with the difficulties referred in a). Although any data- based variable selection procedure usually leads to violations of the assumptions underlying classical inference methods, that ...
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Application of multivariate statistical methods in analyzing expectation surveys in Central Bank of Nigeria
... Reuben and Pedro (2007) concluded that Parallel Analysis (PA) is one of the most recommendable rules for factor selection in Factor Analysis and Principal Component Analysis. However they said that this method is not ...
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Univariate and multivariate statistical tools for in vitro conservation of citrus genotypes
... ABSTRACT. This study aimed to evaluate the influence of the growing environment on the in vitro conservation of citrus genotypes obtained from the Active Citrus Germplasm Bank of Embrapa Cassava and Fruit. The study used ...
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