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Alan Gilbert Agresti (born February 6, 1947) is an American statistician and Distinguished Professor Emeritus at the University of Florida. [1] He has written several textbooks on categorical data analysis that are considered seminal in the field.
Categorical distribution, general model; Chi-squared test; Cochran–Armitage test for trend; Cochran–Mantel–Haenszel statistics; Correspondence analysis; Cronbach's alpha; Diagnostic odds ratio; G-test; Generalized estimating equations; Generalized linear models; Krichevsky–Trofimov estimator; Kuder–Richardson Formula 20; Linear ...
It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for categorical data. [citation needed] MCA can be viewed as an extension of simple correspondence analysis (CA) in that it is applicable to a large set of categorical variables.
Categorical may refer to: Categorical imperative, a concept in philosophy developed by Immanuel Kant; Categorical theory, in mathematical logic; Morley's categoricity theorem, a mathematical theorem in model theory; Categorical data analysis; Categorical distribution, a probability distribution
While Ryan tried to go out the next day and do it all over again, it was too cold, and the tights for the costume weren't very warm. So, he hopes to come back to N.Y.C. next year and make his way ...
In the Faroe Islands, wild, unpredictable weather — fierce winds and rain, and thick fog that settles like a curtain — can sometimes make travel by car or ferry problematic.
The Cochran–Armitage test for trend, [1] [2] named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and an ordinal variable with k categories.
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