This question was closed without grading. Reason: Answer found elsewhere
Dec 15, 2011 13:57
12 yrs ago
English term
Italy
French mother tongue/20 years experience
Native in: French (Variants: Standard-France, Swiss) 
, Italian (Variant: Standard-Italy)
Works in: Italian to French, English to French, French to Italian, and 1 more.
MNL specifications
English to French
Social Sciences
Social Science, Sociology, Ethics, etc.
Education is also significant in the MNL specifications but the coefficient signs do not necessarily give the direction of the relationship.
Proposed translations
(French)
| 4 | modèle de la régression logistique multinomiale |
FX Fraipont (X)
|
Proposed translations
12 mins
modèle de la régression logistique multinomiale
La Régression Logistique
https://studies2.hec.fr/jahia/webdav/.../regression_logistiq...
Régression logistique multinomiale (bordeaux, alligator). - utilisation de SPSS et de la Proc Catmod. Utilisation. de SPSS. et de la. Proc Logistic. 4. Références ...
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Note added at 13 mins (2011-12-15 14:10:09 GMT)
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"In statistics, economics, and genetics, a multinomial logit (MNL) model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes.[1] That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.)."
http://en.wikipedia.org/wiki/Multinomial_logit
https://studies2.hec.fr/jahia/webdav/.../regression_logistiq...
Régression logistique multinomiale (bordeaux, alligator). - utilisation de SPSS et de la Proc Catmod. Utilisation. de SPSS. et de la. Proc Logistic. 4. Références ...
--------------------------------------------------
Note added at 13 mins (2011-12-15 14:10:09 GMT)
--------------------------------------------------
"In statistics, economics, and genetics, a multinomial logit (MNL) model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes.[1] That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.)."
http://en.wikipedia.org/wiki/Multinomial_logit
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