[PDF] Top 20 Comparison of multivariate statistical analysis methods

... Principal component analysis is to linearly transform the original variables to obtain new variables. The amount of the original variable information contained in the new variables expressed by the variance. New ... See full document

... The paper analyzes changes in the demographic behaviour within the CR regions over the period of one children’s biologic generation, using the multivariate statistical analysis methods. The ... See full document

... factor analysis of the heavy mineral data of each depositional system was carried out, and the type of rock was determined by combining the rock type of each source area ...factor analysis, the principal ... 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

... Discriminant Analysis are useful tools to extract salient features from a large pool of correlated binary predictors, but also provide a way to assess individuals proximities in a reduced factor ... See full document

... the multivariate statistical methods when classifying 185 farming enterprises specialized in grazing livestock breeding in four groups by their economic ...discriminatory analysis it has been ... See full document

... spatial analysis in annual crop experiments are well ...spatial analysis to date. This paper aimed at the comparison of several models, including auto-regressive, ante-dependence and character ... 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

... 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 ... See full document

... Ground water resources in Gujranwala are adequate and due to recharging of the transmissive aquifer are sustainable. However, the shallow water table in the city is being depleted due to the massive use of individual ... See full document

... components analysis im- plicitly uses the euclidean ...components analysis [8] allows the replacement of the implicitly used euclidean distance with other similarity measures, the ...for comparison ... See full document

... The MSSA methods approach is used here in order to extract features from the frequency domain responses recorded from the laminate beams. MSSA decomposes the original signal into oscillatory components which in ... See full document

... Sensing methods used in his study. Regression analysis were then performed to provide, furthermore, substantial information about interrelation between the multispec- tral data and ground truth using ... 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 ...result, multivariate ... 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

... Utilizing Multivariate Statistical Techniques: A Case Study in The Balihe Lake, ...and Analysis Methods of Water and Wastewater (4th ... 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

... 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 ...indicators multivariate statistical ... 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

... Nonlinear methods are in this article applied on a small number of cases: 20 countries, from the source tables ...data analysis, which deals with the analysis of variables that carry only relative ... See full document