Results 161 to 170 of about 1,469 (214)

Modelos lineales generalizados: regresión de rango reducido y reducción suficiente de dimensiones

open access: yes, 2017
The answer to many problems of interest in experimental sciences require the study of one or more variables Y (response/s) depending on other variables X (predictors). From the point of view of statistics, this means study the conditional distribution of a vector Y r-dimensional given the vector X p-dimensional. When the number of predictors p is large,
openaire   +1 more source

Relationship between moderate alcohol consumption, genetic polymorphisms and body weight in a population sample of Puerto Madryn, Argentina [PDF]

open access: yesBiomedica
Pérez LO   +11 more
europepmc   +1 more source

[Alternative CPAP methods for the treatment of secondary serious respiratory failure due to pneumonia by COVID-19]. [PDF]

open access: yesMed Clin (Barc), 2021
Mateos-Rodríguez A   +12 more
europepmc   +1 more source

Factors associated with childhood chronic malnutrition during the first 12 months of life in children from a peruvian cohort. [PDF]

open access: yesRev Peru Med Exp Salud Publica
Morales-Cahuancama B   +8 more
europepmc   +1 more source

Testing indoor residual spraying coverage targets for malaria control, Bioko, Equatorial Guinea. [PDF]

open access: yesBull World Health Organ
García GA   +16 more
europepmc   +1 more source

Estudio de los Modelos Lineales Generalizados en un problema del clima y la salud

open access: yes, 2018
El término Modelo Lineal Generalizado se refiere a una familia de modelos estadísticos que amplían los métodos paramétricos lineales, como la Regresión de Mínimos Cuadrados Ordinarios y el análisis de varianza, a tipos de datos donde la variable de respuesta es discreta y/o no linealmente relacionada a las variables explicativas.
openaire  

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