multiple factor analysis

См. также в других словарях:

• Multiple correspondence analysis — In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low dimensional… …   Wikipedia

• Factor analysis — is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved, uncorrelated variables called factors. In other words, it is possible, for example, that variations in …   Wikipedia

• Multiple Discriminant Analysis - MDA — A statistical technique used to reduce the differences between variables in order to classify them into a set number of broad groups. In finance, this technique is used to compress the variance between securities while also allowing the person to …   Investment dictionary

• Confirmatory factor analysis — In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis. It is used to test whether measures of a construct are consistent with a researcher s understanding of the nature of that construct (or factor). In contrast… …   Wikipedia

• Random Factor Analysis — A statistical analysis performed to determine the origin of random data figures collected. Random factor analysis is used to decipher whether the outlying data is caused by an underlying trend or just simply random occurring events and attempts… …   Investment dictionary

• Multiple comparisons — In statistics, the multiple comparisons or multiple testing problem occurs when one considers a set of statistical inferences simultaneously.[1] Errors in inference, including confidence intervals that fail to include their corresponding… …   Wikipedia

• Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

• Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

• Multiple sclerosis — Classification and external resources Demyelination by MS. The CD68 colored tissue shows several macrophages in the area of the lesion. Original scale 1:100 ICD …   Wikipedia

• Multiple myeloma — Classification and external resources Micrograph of a plasmacytoma, the histologic correlate of multiple myeloma. H E stain ICD …   Wikipedia

• Multiple isomorphous replacement — or MIR is the most common approach of solving the phase problem in X ray crystallography. This method is conducted by soaking the crystal of a sample to be analyzed with a heavy atom solution or co crystallization with the heavy atom. The… …   Wikipedia