« Modèle non paramétrique » : différence entre les versions


m (Remplacement de texte — « DeepAI.org ] » par « DeepAI.org ] Catégorie:DeepAI.org  »)
Aucun résumé des modifications
Ligne 5 : Ligne 5 :


== Français ==
== Français ==
''' XXXXXXXXX '''
''' modèle non paramétrique '''


== Anglais ==
== Anglais ==
''' Non-Parametric Model'''
''' non-parametric model'''


Non-parametric Models are statistical models that do not often conform to a normal distribution, as they rely upon continuous data, rather than discrete values. Non-parametric statistics often deal with ordinal numbers, or data that does not have a value as fixed as a discrete number. The term non-parametric does not mean that the value lack inherent parameters, but rather that the parameters are flexible and can vary. One may turn to non-parametric statistics when dealing with ranked data, in which some of the value of the variables is the order in which they are organized.
Non-parametric Models are statistical models that do not often conform to a normal distribution, as they rely upon continuous data, rather than discrete values. Non-parametric statistics often deal with ordinal numbers, or data that does not have a value as fixed as a discrete number. The term non-parametric does not mean that the value lack inherent parameters, but rather that the parameters are flexible and can vary. One may turn to non-parametric statistics when dealing with ranked data, in which some of the value of the variables is the order in which they are organized.

Version du 10 mai 2021 à 21:01

en construction

Définition

XXXXXXXXX

Français

modèle non paramétrique

Anglais

non-parametric model

Non-parametric Models are statistical models that do not often conform to a normal distribution, as they rely upon continuous data, rather than discrete values. Non-parametric statistics often deal with ordinal numbers, or data that does not have a value as fixed as a discrete number. The term non-parametric does not mean that the value lack inherent parameters, but rather that the parameters are flexible and can vary. One may turn to non-parametric statistics when dealing with ranked data, in which some of the value of the variables is the order in which they are organized.



Source : DeepAI.org