¿Qué son los modelos lineales generalizados (GLM)?
DOI:
https://doi.org/10.22199/S07160917.1984.0007.00001Abstract
Se define la clase de modelos llamados "Modelos Lineales Generalizados" compuestos de componentes sistemática y aleatoria. La componente aleatoria especifica que la distribución de las observaciones, pertenece a la familia exponencial. La componente sistemática es lineal o una transformación de ella es lineal. Los estimadores de los parámetros de la parte sistemática son obtenidos por la generalización método iterativo usado en el probit análisis, dicha generalización se debe a Nelder. Se define la desvianza para generalizar el análisis de varianza.References
[1] Bishop, Y.M.M. Full contingency tables, logits and split contingency tables. Biometrics 25, (1969) 383-399.
[2] Kendall, M.G. and Stuart, A. (1967). The advance Theory of Stalistics. 2nd ed. Vol. II. London: Griffin.
[3] Nelder, J.A. Weighted regression, quantal response data and inverse polynomials. Biometrics, 24, 979-985.
[4] Nelder, J.A. and Wedderburn, R.W.M. Generalized Lnear Models. J.R. Stalist . Soc. A, 135, 370-384 (1972).
[5] Patil G.P. and Richard Shorrock. On Certain Properties of the Exponential-type Families (1965). J . R. Stalist. Soc. B, 27, 94-99.
[2] Kendall, M.G. and Stuart, A. (1967). The advance Theory of Stalistics. 2nd ed. Vol. II. London: Griffin.
[3] Nelder, J.A. Weighted regression, quantal response data and inverse polynomials. Biometrics, 24, 979-985.
[4] Nelder, J.A. and Wedderburn, R.W.M. Generalized Lnear Models. J.R. Stalist . Soc. A, 135, 370-384 (1972).
[5] Patil G.P. and Richard Shorrock. On Certain Properties of the Exponential-type Families (1965). J . R. Stalist. Soc. B, 27, 94-99.
Published
2018-03-27
How to Cite
[1]
A. Vasquez Salas, “¿Qué son los modelos lineales generalizados (GLM)?”, Proyecciones (Antofagasta, On line), vol. 3, no. 7, pp. 1-17, Mar. 2018.
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