Multivariate Statistical Methods
Multivariate Statistical Methods in Researching Biocultural Diversity
... Nonlinear multivariate statistical methods have proven to be useful tools in research issues dealing with biocultural ...these methods have less restrictions in their use, as compared with ...
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Classification of Specialized Farms Applying Multivariate Statistical Methods
... the multivariate statistical methods when classifying 185 farming enterprises specialized in grazing livestock breeding in four groups by their economic ...
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A comparison of demographic behaviour between the CR regions using multivariate statistical methods
... PRÁŠILOVÁ, M., GROSZ, J., HOŠKOVÁ, P.: A comparison of demographic behaviour between the CR regions us- ing multivariate statistical methods. Acta univ. agric. et silvic. Mendel. Brun., 2008, LVI, ...
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Assessment of groundwater quality, toxicity and health risk in an industrial area using multivariate statistical methods
... of multivariate statistical methods for groundwater quality, toxicity and health risk associated with contaminated industrial sites for proficient administration of water ...
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2016 Abstract: The present study highlights the utilization of multivariate statistical methods as a tool for water quality assessment
... of multivariate statistical methods as a tool for water quality ...using multivariate statistical techniques to analyze the quality of water and monitoring the variables affecting the ...
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Multivariate statistical methods for fault detection and classification
... 2.1. The Philosophy of Quality Literature Review years postwar, and indeed the growth of SPC outside of the defence industry was sluggish at best. In Japan, the postwar situation was different. Since the economy had been ...
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Analysis of regional development with use of multivariate statistical methods
... The paper deals with differentiation of regional entities within the Czech Republic based on study of human potential. The human factor has been defi ned by 22 variables from three domains: population density, ...
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Comparison of multivariate statistical methods for dynamic systems modeling
... these multivariate methodologies could help to determine the need for some kind of intervention analysis in specific time points of the campaigns, so that they could become useful complementary tools in the ...
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Multivariate statistical methods to determine changes in botanical composition Vegetation.
... Analysis of data collected from an experiment of this type is complicated by the fact that the response variables of interest (i.e. counts or percentages of the va[r] ...
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Refining developmental coordination disorder subtyping with multivariate statistical methods
... several methods for variable ranking [16,17] and selection [18,19] have been proposed (for a review, [20]), it is also possible to consider a more parci- monious model by adding constraints during parameter ...
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Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data
... 5. CONCLUSIONS AND FUTURE DEVELOPMENTS ______________________________________________________________________ Due to the very limited information published about CRM in the pharmaceutical industry the literature ...
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Application of Multivariate Statistical Methods in Provenance Analysis in Mabei Area of Junggar Basin
... many methods for provenance ...analysis；the methods of cluster analysis, factor analysis and other statistical methods can reveal the correlation between samples or variables, identify mixed ...
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Using Multivariate Statistical Methods for Analysing Financial Literacy, as a Possible Appearance of Social Innovation
... Financial literacy is an interesting research area. In this paper my aim is to answer three important questions about financial literacy with help of statistical methods. Can it be predicted whether a ...
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Application of Multivariate Statistical Methods in the Analysis of Czech Population Life Quality with Attention to Regional Differentiation
... from statistical modeling based on identifi cation of key indicators aff ecting life quality in the CR districts and the outcomes reached have been exploited further for multidimensional classifi cation of districts ...
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Using Graphical and Multivariate Statistical Methods for Geochemical Assessment of Groundwater Quality in Oumé Department (Côte d’Ivoire)
... Generally, multivariate analysis methods such as factor analysis and principal component analysis [3] [5] have been used for this purpose in hydrological and groundwater ...for multivariate, ...
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Statistical Methods for Multivariate and Complex Phenotypes
... propose methods for studying complex phenotypes of these types, where the phenotype may be characterized either longitudinally or by a diverse set of contin- uous, discrete, or not fully observed ...
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Comparison of multivariate statistical analysis methods
... Bayes statistical thought always assumes that there is a certain understanding of the research object before the discrimination. Generally, the prior distribution is used to describe this understanding, and then ...
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Multivariate L1 Statistical Methods: The Package MNM
... to multivariate data analysis based on the L 1 ...the multivariate linear regression model case, and the use of the package is illustrated with several examples using the R package ...
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Statistical methods for multivariate meta-analysis of diagnostic tests
... 84 situations in future research. Another limitation is the choice of priors for covariance matrices. In Bayesian multivariate GLMMs (Chapter 3 and 5), Wishart priors were used for the covariance matrices to ...
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Multivariate statistical process control using dynamic ensemble methods
... classification methods such as ensemble methods as well as techniques from Statistical Process Control ...many methods were proposed to improve the change detection ability, there are still ...
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