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Qu'est-ce (qui) est epsilon squared - définition
Sum of squared error; Sum of squared deviates; Squared deviation; Sum of squared deviations; Squared deviations
epsilon squared
<jargon> A quantity even smaller than epsilon, as small in
comparison to epsilon as epsilon is to something normal;
completely negligible. If you buy a supercomputer for a
million dollars, the cost of the thousand-dollar terminal to
go with it is epsilon, and the cost of the ten-dollar cable
to connect them is epsilon squared.
Compare lost in the underflow, lost in the noise.
(1997-09-05)
Epsilon calculus
LOGICAL CALCULUS WITH A PRIMITIVE SYMBOL THAT DENOTES AN ARBITRARY VALUE SATISFYING A GIVEN PREDICATE OR, IF NO SUCH VALUE EXISTS, ANOTHER ARBITRARY VALUE
Epsilon operator; Epsilon substitution method; Epsilon terms
Hilbert's epsilon calculus is an extension of a formal language by the epsilon operator, where the epsilon operator substitutes for quantifiers in that language as a method leading to a proof of consistency for the extended formal language. The epsilon operator and epsilon substitution method are typically applied to a first-order predicate calculus, followed by a showing of consistency.
Epsilon numbers (mathematics)
TYPE OF TRANSFINITE NUMBERS
Epsilon numbers (mathematics); Epsilon numbers; Epsilon zero (mathematics); Epsilon nought (mathematics); Epsilon number (mathematics)
In mathematics, the epsilon numbers are a collection of transfinite numbers whose defining property is that they are fixed points of an exponential map. Consequently, they are not reachable from 0 via a finite series of applications of the chosen exponential map and of "weaker" operations like addition and multiplication.
Wikipédia
Squared deviations from the mean
Squared deviations from the mean (SDM) result from squaring deviations. In probability theory and statistics, the definition of variance is either the expected value of the SDM (when considering a theoretical distribution) or its average value (for actual experimental data). Computations for analysis of variance involve the partitioning of a sum of SDM.
