Agrotermos

Preferred term

probit analysis

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 purpose of the model is to estimate the probability that an observation with particular characteristics will fall into a specific one of the categories; moreover, classifying observations based on their predicted probabilities is a type of binary classification model. A probit model is a popular specification for an ordinal or a binary response model. As such it treats the same set of problems as does logistic regression using similar techniques. The probit model, which employs a probit link function, is most often estimated using the standard maximum likelihood procedure, such an estimation being called a probit regression.

statistical methods

Created
2018-04-16T14:08:54Z
Last modified
2018-04-16T19:01:39Z
void:inDataset
http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc
Notation
0ea6c9fe
probit model

French

Created

2018-04-16T17:03:49Z

Last modified

2021-06-02T08:49:03

void:inDataset

http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc

Notation

1c49b800

analyse par la méthode des probits

Spanish

Created

2018-04-16T17:02:34Z

Last modified

2018-04-16T19:06:21Z

void:inDataset

http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc

Notation

1c49b800

Análisis por el método de probits

URI

http://aims.fao.org/aos/agrovoc/c_1c49b800

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Created 4/16/18, 2:07 PM, last modified 4/29/26, 4:12 AM