In multivariate analysis, canonical correspondence analysis (CCA) is an ordination technique that determines axes from the response data as a linear combination of measured predictors. CCA is commonly used in ecology in order to extract gradients that drive the composition of ecological communities. CCA extends Correspondence Analysis (CA) with regression, in order to incorporate predictor variables.
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In multivariate analysis, canonicalcorrespondenceanalysis (CCA) is an ordination technique that determines axes from the response data as a linear combination...
Correspondenceanalysis (CA) is a multivariate statistical technique proposed by Herman Otto Hartley (Hirschfeld) and later developed by Jean-Paul Benzécri...
including detrended correspondenceanalysis and canonicalcorrespondenceanalysis. One special extension is multiple correspondenceanalysis, which may be seen...
Detrended correspondenceanalysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large...
(disambiguation) Canonical correlation analysis, a way of inferring information from cross-covariance matrices Canonicalcorrespondenceanalysis, a variation...
In mathematics and computer science, a canonical, normal, or standard form of a mathematical object is a standard way of presenting that object as a mathematical...
In quantum mechanics, the canonical commutation relation is the fundamental relation between canonical conjugate quantities (quantities which are related...
forms of correspondenceanalysis: simple correspondenceanalysis (CA), multiple correspondenceanalysis (MCA) and canonicalcorrespondenceanalysis (CCA)...
technique is discriminant correspondenceanalysis. Discriminant analysis is used when groups are known a priori (unlike in cluster analysis). Each case must have...
In statistical mechanics, a canonical ensemble is the statistical ensemble that represents the possible states of a mechanical system in thermal equilibrium...
analysis, canonicalcorrespondenceanalysis (CCA), or detrended correspondenceanalysis (DCA), for classifying vegetation. Gradient analysis is another...
deuterocanonical by many, while some denominations may consider them fully canonical. Differences exist between the Hebrew Bible and Christian biblical canons...
In Hamiltonian mechanics, the linear canonical transformation (LCT) is a family of integral transforms that generalizes many classical transforms. It...
In statistical mechanics, the grand canonical ensemble (also known as the macrocanonical ensemble) is the statistical ensemble that is used to represent...
A bijection, bijective function, or one-to-one correspondence between two mathematical sets is a function such that each element of the second set (the...
Cochran–Armitage test for trend Cochran–Mantel–Haenszel statistics Correspondenceanalysis Cronbach's alpha Diagnostic odds ratio G-test Generalized estimating...
maps each element to its equivalence class, is called the canonical surjection, or the canonical projection. Every element of an equivalence class characterizes...
In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information...
are called momenta. (Also generalized momenta, conjugate momenta, and canonical momenta). For a time instant t , {\displaystyle t,} the Legendre transformation...
counterexample in the canonical model. The main application of canonical models are completeness proofs. Properties of the canonical model of K immediately...
system. One of its key insights about comparative statics, called the correspondence principle, states that stability of equilibrium implies testable predictions...