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Mathematical Object

Logit

Probability and Statistics

The logit function, an abbreviation of logistic unit, is the quantile function of the standard logistic distribution and the inverse of the standard logistic function. It is defined as logit(p) = ln(p over (1 minus p)) for a probability p between 0 and 1, which is why it is also called the log-odds function, mapping probabilities onto the full range of real numbers. The logit serves as the canonical link function for the Bernoulli distribution in generalized linear models, most notably in logistic regression, and it is central to the probabilistic Rasch model used in psychological and educational measurement. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

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Function 1
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Source Logit (Wikipedia)

Is Kind Of Object

Functions, Concepts

Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.

Sources
1. Logit (Wikipedia)
In Branch: Probability and Statistics, Lead sentence
Quote, In Branch: Probability and Statistics, Lead sentence
In statistics, the logit (logistic unit) or log-odds function is the quantile function associated with the standard logistic distr
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