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Variables in standard JavaScript have no type attached, so any value (each value has a type) can be stored in any variable. Starting with ES6 , the 6th version of the language, variables could be declared with var for function scoped variables, and let or const which are for block level variables.
Let (A, ≤) and (B, ≤) be two partially ordered sets. A monotone Galois connection between these posets consists of two monotone [1] functions, F : A → B and G : B → A, such that for all a in A and b in B, we have F(a) ≤ b if and only if a ≤ G(b). In this situation, F is called the lower adjoint of G and G is called the upper adjoint ...
In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices.If we have two vectors X = (X 1, ..., X n) and Y = (Y 1, ..., Y m) of random variables, and there are correlations among the variables, then canonical-correlation analysis will find linear combinations of X and Y that have a maximum ...
In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross-correlation matrices between the sets of random variables when there are more than two sets. While a conventional CCA generalizes principal component analysis (PCA) to two sets of random variables, a gCCA generalizes PCA to more than two sets ...
If X and Y are finite sets, then there exists a bijection between the two sets X and Y if and only if X and Y have the same number of elements. Indeed, in axiomatic set theory , this is taken as the definition of "same number of elements" ( equinumerosity ), and generalising this definition to infinite sets leads to the concept of cardinal ...
The closer the coefficient is to either −1 or 1, the stronger the correlation between the variables. If the variables are independent, Pearson's correlation coefficient is 0. However, because the correlation coefficient detects only linear dependencies between two variables, the converse is not necessarily true.
A module here refers to a subroutine of any kind, i.e. a set of one or more statements having a name and preferably its own set of variable names. Content coupling (high) Content coupling is said to occur when one module uses the code of another module, for instance a branch. This violates information hiding – a basic software design concept.
For three variables, the interaction information measures the influence of a variable on the amount of information shared between and . Because the term I ( X ; Y ∣ Z ) {\displaystyle I(X;Y\mid Z)} can be larger than I ( X ; Y ) {\displaystyle I(X;Y)} , the interaction information can be negative as well as positive.