- 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...
- In statistics, the
ordered logit model or
proportional odds
logistic regression is an
ordinal regression model—that is, a
regression model for ordinal...
-
Mixed logit is a
fully general statistical model for
examining discrete choices. It
overcomes three important limitations of the
standard logit model...
-
including polytomous LR,
multiclass LR,
softmax regression,
multinomial logit (mlogit), the
maximum entropy (MaxEnt) classifier, and the
conditional maximum...
-
Binary Logit,
Binary Probit,
Multinomial Logit,
Conditional Logit,
Multinomial Probit,
Nested Logit,
Generalized Extreme Value Models,
Mixed Logit, and...
-
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
machine learning and com****tional
learning theory,
LogitBoost is a
boosting algorithm formulated by
Jerome Friedman,
Trevor Hastie, and
Robert Tibshirani...
- (2008). "Random
Forests for
multiclass classification:
Random MultiNomial Logit".
Expert Systems with Applications. 34 (3): 1721–1732. doi:10.1016/j.eswa...
