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Setjið inn leitarorð eða tilgreinið leitarskilyrði með reglulegri segð.

variance, n.
  1. meðalfervik, dreifni, brigði
    = dispersion 2, mean square deviation
analysis of covariance
  1. samfylgnigreining, samvikagreining
    = covariance analysis
analysis of variance
  1. fervikagreining
    = variance analysis
    -> ANOVA
between-class variance
  1. ytra meðalfervik, ytri dreifni
    = between-group variance, external variance, interclass variance
    -> within-class variance
between-group variance
  1. = between-class variance
covariance, n.
  1. (in statistics) samfylgni, samdreifni, samvik
  2. (in differential geometry) sambrigðni
covariance analysis
  1. samfylgnigreining, samvikagreining
    = analysis of covariance
covariance function
  1. samfylgnifall, samvikafall
covariance matrix
  1. samfylgnifylki, samvikafylki
    = dispersion matrix
external variance
  1. ytra meðalfervik, ytri dreifni
    = between-group variance, between-class variance, interclass variance
interclass variance
  1. ytra meðalfervik, ytri dreifni
    = between-group variance, between-class variance, external variance
    -> within-class variance
internal variance
  1. innra meðalfervik, innri dreifni
    = intra-class variance, within-class variance
    -> between-class variance
intra-class variance
  1. innra meðalfervik, innri dreifni
    = internal variance, within-class variance
    -> between-class variance
invariance, n.
  1. óbreytni
invariance property
  1. = invariant property
multivariate analysis of variance
  1. margvíð fervikagreining, fjölbreytufervikagreining
    = analysis of dispersion, dispersion analysis
    -> MANOVA
residual variance
  1. = residual dispersion
sample covariance
  1. úrtakssamfylgni, úrtakssamvik
sample variance
  1. meðalfervik úrtaks, úrtaksdreifni
    = sample dispersion
variance analysis
  1. fervikagreining
    = analysis of variance
    -> ANOVA
variance ratio
  1. dreifnihlutfall
within-class variance
  1. innra meðalfervik, innri dreifni
    = internal variance, intra-class variance
    -> between-class variance