Asymptotically Most Powerful Rank Tests for the Two-Sample Problem with Censored Data
Gastwirth, Joseph L.
Ann. Math. Statist., Tome 36 (1965) no. 6, p. 1243-1247 / Harvested from Project Euclid
Although the theory of asymptotically most powerful rank tests is fairly well developed, only little attention (see [4]) has been paid to censored data. In this paper we derive the a.m.p.r.t. for censored data from the a.m.p.r.t. based on the complete sample. For simplicity, we consider the two-sample location problem for data censored on the right. The methods used, however, can be applied to find the a.m.p.r.t. for multi-censored data and also the a.m.p.r.t. for the two-sample dispersion problem when the data are censored.
Publié le : 1965-08-14
Classification: 
@article{1177699995,
     author = {Gastwirth, Joseph L.},
     title = {Asymptotically Most Powerful Rank Tests for the Two-Sample Problem with Censored Data},
     journal = {Ann. Math. Statist.},
     volume = {36},
     number = {6},
     year = {1965},
     pages = { 1243-1247},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177699995}
}
Gastwirth, Joseph L. Asymptotically Most Powerful Rank Tests for the Two-Sample Problem with Censored Data. Ann. Math. Statist., Tome 36 (1965) no. 6, pp.  1243-1247. http://gdmltest.u-ga.fr/item/1177699995/