- 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...
-
Mixed logit is a
fully general statistical model for
examining discrete choices. It
overcomes three important limitations of the
standard logit model...
- In statistics, the
ordered logit model or
proportional odds
logistic regression is an
ordinal regression model—that is, a
regression model for ordinal...
-
Binary Logit,
Binary Probit,
Multinomial Logit,
Conditional Logit,
Multinomial Probit,
Nested Logit,
Generalized Extreme Value Models,
Mixed Logit, and...
- In
machine learning and com****tional
learning theory,
LogitBoost is a
boosting algorithm formulated by
Jerome Friedman,
Trevor Hastie, and
Robert Tibshirani...
-
including polytomous LR,
multiclass LR,
softmax regression,
multinomial logit (mlogit), the
maximum entropy (MaxEnt) classifier, and the
conditional maximum...
-
function (and
probit model) are the
logit function and
logit model. The
inverse of the
logistic function is
given by
logit ( p ) = log ( p 1 − p ) . {\displaystyle...
-
quantities other than
transmission loss led to confusion, and
suggested the name
logit for "standard
magnitudes which combine by multiplication", to
contrast with...
