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Análisis por el método de probits

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.

Método estadístico

francés

Creado

2018-04-16T17:03:49Z

Última modificación

2021-06-02T08:49:03

void:inDataset

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

skos:notation

1c49b800

analyse par la méthode des probits

inglés

Creado

2018-04-16T14:07:57Z

Última modificación

2018-04-16T19:01:39Z

void:inDataset

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

skos:notation

1c49b800

probit analysis
Creado

2018-04-16T14:08:54Z

Última modificación

2018-04-16T19:01:39Z

void:inDataset

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

skos:notation

0ea6c9fe

probit model

URI

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

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Creado 4/16/18, 14:07, última modificación 4/29/26, 04:12