- In
probability theory and statistics, the
probit function is the
quantile function ****ociated with the
standard normal distribution. It has applications...
- In statistics, a
probit model is a type of
regression where the
dependent variable can take only two values, for
example married or not married. The word...
-
numbers in ( − ∞ , + ∞ ) {\displaystyle (-\infty ,+\infty )} , akin to the
probit function. If p is a probability, then p/(1 − p) is the
corresponding odds;...
- In
statistics and econometrics, the
multinomial probit model is a
generalization of the
probit model used when
there are
several possible categories that...
- In
statistics and econometrics, the
multivariate probit model is a
generalization of the
probit model used to
estimate several correlated binary outcomes...
-
yields the
probit model. Its link is g ( p ) = Φ − 1 ( p ) . {\displaystyle g(p)=\Phi ^{-1}(p).\,\!} The
reason for the use of the
probit model is that...
-
customer decides to purchase.
Techniques such as
logistic regression and
probit regression can be used for
empirical analysis of
discrete choice. Discrete...
-
ordered scale (e.g., "Strongly disagree" to "Strongly agree"). The
ordered probit model provides an
appropriate fit to
these data,
preserving the ordering...
- classification.
Examples of
ordinal regression are
ordered logit and
ordered probit.
Ordinal regression turns up
often in the
social sciences, for
example in...
- The
probit model was prin****lly used in bio****ay, and had been
preceded by
earlier work
dating to 1860; see
Probit model § History. The
probit model...
