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The term antonym (and the related antonymy) is commonly taken to be synonymous with opposite, but antonym also has other more restricted meanings. Graded (or gradable) antonyms are word pairs whose meanings are opposite and which lie on a continuous spectrum (hot, cold).
Auto-antonym: A word that is encoded with opposing meanings. Absurdity; Excusable negligence: If a behavior is excusable, it is not negligence. Gödel's incompleteness theorems: and Tarski's undefinability theorem; Ignore all rules: To obey this rule, it is necessary to ignore it. Impossible object: A type of optical illusion.
Antiphrasis is the rhetorical device of saying the opposite of what is actually meant in such a way that it is obvious what the true intention is. [1] Some authors treat and use antiphrasis just as irony, euphemism or litotes. [2] When the antiphrasal use is very common, the word can become an auto-antonym, [3] having opposite meanings ...
A contronym is a word with two opposite meanings. For example, the word cleave can mean "to cut apart" or "to bind together". This feature is also called enantiosemy, [1] [2] enantionymy (enantio-means "opposite"), antilogy or autoantonymy. An enantiosemic term is by definition polysemic.
In linguistics, converses or relational antonyms are pairs of words that refer to a relationship from opposite points of view, such as parent/child or borrow/lend. [ 1 ] [ 2 ] The relationship between such words is called a converse relation . [ 2 ]
Likelihoodist statistics or likelihoodism is an approach to statistics that exclusively or primarily uses the likelihood function.Likelihoodist statistics is a more minor school than the main approaches of Bayesian statistics and frequentist statistics, but has some adherents and applications.
It is often argued that open-ended questions (i.e. questions that elicit more than a yes/no answers) are preferable because they open up discussion and enquiry. Peter Worley argues that this is a false assumption. This is based on Worley's central arguments that there are two different kinds of open and closed questions: grammatical and conceptual.
As with most statistical models, maximum likelihood estimation or Bayesian inference are the most common ways of identifying the parameters. [4] The estimated values indicate the direction and magnitude of the effect of each independent variable on the likelihood of the dependent variable falling into a higher category.