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Descriptor English: Models, Statistical
Descriptor Spanish: Modelos Estadísticos
Descriptor modelos estadísticos
Entry term(s) modelos biparamétricos
modelos probabilísticos
Scope note: Formulaciones o análisis estadísticos que, cuando se aplican a los datos y se observa que se ajustan a ellos, se utilizan a continuación para verificar las hipótesis y parámetros utilizados en el análisis. Como ejemplos de modelos estadísticos tenemos el modelo lineal, el modelo binomial, el modelo polinomial, el modelo biparamétrico, etc.
Descriptor Portuguese: Modelos Estatísticos
Descriptor French: Modèles statistiques
Entry term(s): Binomial Model
Binomial Models
Model, Binomial
Model, Polynomial
Model, Probabilistic
Model, Statistical
Model, Two-Parameter
Models, Binomial
Models, Polynomial
Models, Probabilistic
Models, Two-Parameter
Polynomial Model
Polynomial Models
Probabilistic Model
Probabilistic Models
Statistical Model
Statistical Models
Two Parameter Models
Two-Parameter Model
Two-Parameter Models
Tree number(s): E05.318.740.500
E05.599.835
N05.715.360.750.530
N06.850.520.830.500
RDF Unique Identifier: https://id.nlm.nih.gov/mesh/D015233
Scope note: Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Allowable Qualifiers: No qualifiers
Previous Indexing: Models, Biological (1966-1988)
Models, Theoretical (1966-1988)
Statistics (1966-1988)
Public MeSH Note: 89
History Note: 89
Entry Version: MODELS STATIST
Related: Meta-Analysis as Topic MeSH
DeCS ID: 28633
Unique ID: D015233
Documents indexed in the Virtual Health Library (VHL): Click here to access the VHL documents
Date Established: 1989/01/01
Date of Entry: 1988/05/13
Revision Date: 2008/07/08
Models, Statistical - Preferred
Concept UI M0023411
Scope note Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Preferred term Models, Statistical
Entry term(s) Model, Probabilistic
Model, Statistical
Models, Probabilistic
Probabilistic Model
Probabilistic Models
Statistical Model
Statistical Models
Models, Polynomial - Narrower
Concept UI M0023410
Preferred term Models, Polynomial
Entry term(s) Model, Polynomial
Polynomial Model
Polynomial Models
Two-Parameter Models - Narrower
Concept UI M0023412
Preferred term Two-Parameter Models
Entry term(s) Model, Two-Parameter
Models, Two-Parameter
Two Parameter Models
Two-Parameter Model
Models, Binomial - Narrower
Concept UI M0023409
Preferred term Models, Binomial
Entry term(s) Binomial Model
Binomial Models
Model, Binomial



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