Diagnostics in Categorical Data Analysis
| Autor: | Erling B. Andersen |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Statistics and Probability
Contingency table 010102 general mathematics Regression analysis 01 natural sciences 010104 statistics & probability Categorical data analysis Statistics Econometrics Leverage (statistics) Multinomial distribution 0101 mathematics Cook's distance Parametric statistics Mathematics |
| Zdroj: | Journal of the Royal Statistical Society: Series B (Methodological). 54:781-791 |
| ISSN: | 0035-9246 |
| DOI: | 10.1111/j.2517-6161.1992.tb01451.x |
| Popis: | Diagnostics as measures of model deviations and of the influence of particular data sets are used extensively in modern regression analysis. For contingency tables, and more generally for the parametric multinomial distribution, it is not the influence of individual observations which is of interest, but rather the contribution to a lack of model fit or to the values of the parameter estimates from a single cell in the table, which must be evaluated. Hence diagnostics for contingency tables take somewhat different forms |
| Databáze: | OpenAIRE |
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