Chi-Square Goodness-if-Fit Tests for Randomly Censored Data
Habib, M. G. ; Thomas, D. R.
Ann. Statist., Tome 14 (1986) no. 2, p. 759-765 / Harvested from Project Euclid
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Two Pearson-type goodness-of-fit test statistics for parametric families are considered for randomly right-censored data. Asymptotic distribution theory for the test statistics is based on the result that the product-limit process with MLE for nuisance parameters converges weakly to a Gaussian process. The Chernoff-Lehmann (1954) result extends to a generalized Pearson statistic. A modified Pearson statistic is shown to have a limiting chi-square null distribution.
Publié le : 1986-06-14
Classification:  Goodness-of-fit,  chi-square tests,  censored data,  product-limit process,  62G10,  62E20 
@article{1176349953,
     author = {Habib, M. G. and Thomas, D. R.},
     title = {Chi-Square Goodness-if-Fit Tests for Randomly Censored Data},
     journal = {Ann. Statist.},
     volume = {14},
     number = {2},
     year = {1986},
     pages = { 759-765},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176349953}
}

Habib, M. G.; Thomas, D. R. Chi-Square Goodness-if-Fit Tests for Randomly Censored Data. Ann. Statist., Tome 14 (1986) no. 2, pp.  759-765. http://gdmltest.u-ga.fr/item/1176349953/