The goodness-of-fit problem is addressed and two among the more efficient tests presently available are revisited and discussed: the autocorrelation method and the sign test recently proposed by Paolo Minguzzi [J. Mol. Spectrosc. 209, (2001) 169], both based on residual analysis. A mathematical proo
Goodness-of-fit analysis for lumber data
β Scribed by P. J. Pellicane
- Publisher
- Springer
- Year
- 1985
- Tongue
- English
- Weight
- 595 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0043-7719
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π SIMILAR VOLUMES
To check the validity of a parametric model for survival data, a number of supremum-type tests have been proposed in the literature using Khmaladze's (1993, Ann. Statist. 18, 582-602) transformation of a test process. However, such a transformation is usually very complicated and lacks a clear inter
If the proportional hazards model (PHM) holds, the regression coefficients for t-year survival probability using the log-log link are equal to those of Cox's PHM with reverse sign for any time point t. In this article, the goodness-of-fit of Cox's model is checked by fitting the log-log regression m
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