N factor - vertaling naar russisch
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N factor - vertaling naar russisch

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
  • ^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"/>

N factor      
n         
  • Latin N
  • 20px
  • x35px
  • x30px
  • Proto-Sinaitic Nun
  • Proto-Caanite Nun
LETTER OF THE LATIN ALPHABET
N; N (character); N (letter); User:Ijai1205/Johor Student Leaders Council (JSLC); ASCII 78; ASCII 110; U+004E; U+006E; Letter N

[en]

общая лексика

noun – имя существительное

существительное

общая лексика

14-я буква английского алфавита

употр. вместо имени или фамилии

математика

неопределённая величина

n         
  • Latin N
  • 20px
  • x35px
  • x30px
  • Proto-Sinaitic Nun
  • Proto-Caanite Nun
LETTER OF THE LATIN ALPHABET
N; N (character); N (letter); User:Ijai1205/Johor Student Leaders Council (JSLC); ASCII 78; ASCII 110; U+004E; U+006E; Letter N
n noun; pl. Ns, N's 1) четырнадцатая буква англ. алфавита 2) = en 2) 3) math. неопределенная величина; to the nth - а) до n-ных/любых пределов; б) coll. безгранично

Definitie

ДИМЕТИЛФОРМАМИД
(CH3)2NCHO, бесцветная жидкость, tкип 153 °С. Растворитель в производстве синтетических волокон, красителей, при выделении ацетилена из газовых смесей.

Wikipedia

Factor analysis

Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models.

Simply put, the factor loading of a variable quantifies the extent to which the variable is related to a given factor.

A common rationale behind factor analytic methods is that the information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Factor analysis is commonly used in psychometrics, personality psychology, biology, marketing, product management, operations research, finance, and machine learning. It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables. It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.

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