[PDF] Top 20 Analysis of regional development with use of multivariate statistical methods

... of regional entities within the Czech Republic based on study of human ...extensive methods have been ...the development of small villages and of countryside as a whole, and ...of regional ... See full document

... the regional potential, it turned out that for objective monitoring of regional development, it will not be possible to make do with only simple statistic means characterizing the development ... See full document

... source analysis is the basis for the study of sedimentary facies and sand body ...provenance analysis has become a top priority.There are many methods for provenance ...provenance analysis；the ... See full document

... Discriminant Analysis (PLS- ...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 ... See full document

... general, multivariate quantitative methods and techniques strengthen the indicative and predictive value of factors or variables and allow for cross-cultural comparison of data between and among different ... See full document

... Various multivariate statistical methods such as cluster and discriminant analysis have been used to make a community of a community of customers with similar behavioral patterns and ... See full document

... advanced multivariate statistical methods when classifying cattle breeding farming enterprises by their economic ...to use a few selected indicators compared to the complex methodology of ... See full document

... sequent statistical analysis: assessment of temporal trends, calculation of charge balance error (both described below in this section), and identification of sites/samples with unusual chemistry ... See full document

... For grouping of objects, fi ve principal components were used in the Economic Domain, explaining 74.66% of the total original data variance (selection had been done by means of Kaiser criterion, according to which only ... See full document

... component analysis indicate that parameters responsible for water quality variations are mainly related to untreated or partially treated municipal sewage, domestic and industrial ...sustainable use of the ... See full document

... uses multivariate statistics methods (Principal Component Analysis, PCA and/or Factor Analysis, FA) to determine the most important water quality parameters at the study area, aiming at ... See full document

... many methods and approaches of model validation have been ...Uncertainty analysis focuses on how uncertainty in the input factors propagates through the structure of the composite indicator and affects the ... See full document

... of multivariate statistical methods disparity in regions of the Czech ...the analysis works with all the monitored variables and their mutual infl ...Using multivariate ... See full document

... an analysis is to study the hydro-geochemistry of an aquifer using various statistical methods and to assess and ascertain the deterioration of ground water quality [6] ...these multivariate ... See full document

... 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 ... See full document

... new methods to select a reduced number of relevant variables for multivariate statistical process control that makes use of engineering, cost and variability evaluation ...cost-utility ... See full document

... best methods for the two traits were 12 and 14, both corresponding to a row-column analysis + a spatial (AR1 x AR1) + independent term ...block analysis ranged from ...Spatial analysis has ... See full document

... selected statistical methods (Correlation analysis, Principal component analysis and Multivariate analysis) were used to determine the heavy metal accumulation and its ... See full document

... Multivariate statistical analysis is a set of developed methods to examine according to the information concerning the structure of the nature of the problem and to reach solutions, taking ... See full document

... the regional level is not ...of methods to reduce the dimensionality of these indicators, from the source of the database CULS KROK, which provides statistics on the regional and districts ... See full document