| Autor: |
Cessie, S., Houwelingen, J. C. |
| Zdroj: |
Statistica Neerlandica; Jun1993, Vol. 47 Issue 2, p97-109, 13p |
| Abstrakt: |
sequence of logistic models is fitted to data from a Dutch follow-up study on preterm infants (POPS). To examine the adequacy of the model, a recently developed non parametric method to check goodness of fit is applied (le Cessie and Van Houwelingen (1991)). This method uses a test statistic based upon kernel regression methods. In this paper the problem of choosing a 'best' bandwidth, corresponding to the greatest power of the test statistic, is avoided by computing the test statistic for a range of different bandwidths. Testing is then based upon the asymptotic distribution of the maximum of the test statistics. The testing method is used as a goodness of fit criterion, and the contribution of each individual observation to the test statistic is used as a diagnostic tool to localize deviations of the model, and to determine directions in which the model can be improved. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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