Goodman Association Model
Goodman's association models, especially the row-column (RC) model, analyze the association in a two-way contingency table by representing it as a product of estimated scores for the row categories and scores for the column categories, scaled by an intrinsic association parameter. Introduced by Leo Goodman in 1979, they are log-multiplicative rather than purely log-linear, allowing ordered categories to be assigned data-driven scores and the strength of association to be summarized in a single, interpretable coefficient.
Registro de origen
Citas copiadas textualmente del registro de origen del método. No se infiere ninguna verificación a nivel de afirmación de ellas.
- Goodman, L. A. (1979). Simple models for the analysis of association in cross-classifications having ordered categories. Journal of the American Statistical Association, 74(367), 537–552. · DOI 10.1080/01621459.1979.10481650
- Goodman, L. A. (1985). The analysis of cross-classified data having ordered and/or unordered categories: association models, correlation models, and asymmetry models for contingency tables with or without missing entries. The Annals of Statistics, 13(1), 10–69. · DOI 10.1214/aos/1176346576
Afirmaciones curadas
Afirmaciones persistidas en el libro mayor de evidencia, cada una con su propia evaluación.
Esta vista no inventa una evaluación de afirmación si el libro mayor no tiene ninguna.
Métodos relacionados
Generado a partir del grafo de métodos y mostrado como relaciones sugeridas por la máquina; no se infiere ninguna afirmación de evidencia.