- In statistics, the
logit (/ˈloʊdʒɪt/ LOH-jit)
function is the
quantile function ****ociated with the
standard logistic distribution. It has many uses in...
- In statistics, a
logistic model (or
logit model) is a
statistical model that
models the log-odds of an
event as a
linear combination of one or more independent...
- In
probability theory, a
logit-normal
distribution is a
probability distribution of a
random variable whose logit has a
normal distribution. If Y is a...
-
Logit analysis is a
statistical technique used in
marketing research. It can be
applied with
regression analysis to
customer targeting and to ****ess effectiveness...
- In statistics, the
ordered logit model or
proportional odds
logistic regression is an
ordinal regression model—that is, a
regression model for ordinal...
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Binary Logit,
Binary Probit,
Multinomial Logit,
Conditional Logit,
Multinomial Probit,
Nested Logit,
Generalized Extreme Value Models,
Mixed Logit, and...
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including polytomous LR,
multiclass LR,
softmax regression,
multinomial logit (mlogit), the
maximum entropy (MaxEnt) classifier, and the
conditional maximum...
-
necessarily reasonable). The most
common specification for QRE is
logit equilibrium (LQRE). In a
logit equilibrium, player's
strategies are
chosen according to...
-
Mixed logit is a
fully general statistical model for
examining discrete choices. It
overcomes three important limitations of the
standard logit model...
- link
function is the
canonical logit link: g ( p ) =
logit p = ln ( p 1 − p ) . {\displaystyle g(p)=\operatorname {
logit} p=\ln \left({p \over 1-p}\right)...
