multivariate analysis - translation to german
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multivariate analysis - translation to german

SIMULTANEOUS OBSERVATION AND ANALYSIS OF MORE THAN ONE OUTCOME VARIABLE
Multivariable analysis; Multivariate analysis; Multivariate Analysis; Multivariate analyses; Multivariate data analysis; Statistics/Multivariate; Multivariate methods; Multivariate data; Multivariate datasets

multivariate analysis         
mehrfach variierte Analyse (Vergleich von wichtigen finanziellen Daten)
factor analysis         
  • ^2=h^2_a</math>. If another data vector <math>\mathbf{z}_b</math> were plotted, the cosine of the angle between <math>\mathbf{z}_a</math> and <math>\mathbf{z}_b</math> would be <math>r_{ab}</math> : the <math>(a,b)</math>-entry in the correlation matrix. (Adapted from Harman Fig. 4.3)<ref name="Harman"/>
STATISTICAL METHOD USED TO DESCRIBE CORRELATION THROUGH FEWER POSSIBLY LATENT VARIABLES
Factor analysis (in marketing); Factor Analysis; Multi-factorial; Factor loadings; Factorial analysis; Higher-order factor analysis; Principal factor analysis; Factor loading; Factor weight; Factor analyses; Statistical factor analysis
Faktorenanalyse (Statistik)
systems analysis         
PROBLEM-SOLVING TECHNIQUE THAT BREAKS DOWN A SYSTEM INTO ITS COMPONENT PIECES
Systems analysis & design; System Analysis and Design; Information systems analysis and design; Systems Analysis
Systemanalyse

Definition

multivariate
[?m?lt?'v?:r??t]
¦ adjective Statistics involving two or more variable quantities.

Wikipedia

Multivariate statistics

Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random variables. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to each other. The practical application of multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to understand the relationships between variables and their relevance to the problem being studied.

In addition, multivariate statistics is concerned with multivariate probability distributions, in terms of both

  • how these can be used to represent the distributions of observed data;
  • how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis.

Certain types of problems involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate statistics because the analysis is dealt with by considering the (univariate) conditional distribution of a single outcome variable given the other variables.

Examples of use of multivariate analysis
1. When they applied univariate and multivariate analysis to the data, they found that age and parity were not associated with malaria.