Glossary entry

English term or phrase:

Cumulative variance, accumulated variance

English answer:

Cumulative variance

Added to glossary by Henrique Serra
Aug 23, 2002 23:19
21 yrs ago
4 viewers *
English term

cummulative variance or accumulated variance?

English Tech/Engineering Mathematics & Statistics Statistics
This is a term I am translating from Portuguese into English. Statistics. The problem is: which term should I choose?
A Google search numerically favors "accumulated variance" (more hits) but when one looks at the servers where the info is stored, most are non-native English. Hmmmm, suspicious. On the other hand, "cummulative variance" sounds more technical to me but produces much fewer hits; true, they are few but high quality (should I say reliable?). Places like Harvard.

This is related to principal components analysis (stats).

Can you help?

Responses

+1
3 mins
Selected

cumulative variance

is the right option - without a shadow of a doubt - it is a standard term in statistics and probability theory. your instincts serve you well (and also highlight why a search engine hit list can often not be trusted as a definitive source of objective truths!)



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Note added at 2002-08-23 23:25:38 (GMT)
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in fact, you\'ve just given a is a great example of what I would call \"cumulative deviance\"!!! One mistranslation appears on a foreign website and it multiplies onto a host of other sites and before we know it, it seems to be an accepted and widely used term, when in reality it is just bad English mistranslated by a non-native speaker....

Peer comment(s):

agree swisstell
9 mins
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4 KudoZ points awarded for this answer. Comment: "Thank you very, very much!"
6 mins

cumulative variance (with one m)

is standard in statistics; basically it means accumulated variance.

Ex. (UK)
The next item shows all the factors extractable from the analysis along with their eigenvalues, the percent of variance attributable to each factor, and the cumulative variance of the factor and the previous factors. Notice that the first factor accounts for 46.367% of the variance, the second 18.471% and the third 17.013%. All the remaining factors are not significant.

www.ncl.ac.uk/ucs/statistics/common/specialisttopics/ factor_analysis/factoranalysis.html
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