An Asymptotically Optimal Sequential Design for Comparing Several Experimental Categories with a Control
Roberts, Charles DeWitt
Ann. Math. Statist., Tome 34 (1963) no. 4, p. 1486-1493 / Harvested from Project Euclid
The basic problem is to decide none of $k$ experimental categories is better than the control or decide a certain category is better. For this problem three sequential procedures are examined with specification of how procedures are carried out in practice. With a definite loss function and a cost $c > 0$ per observation the three sequential procedures and fixed sample size procedures are compared in a certain asymptotic sense as $c \rightarrow 0$. In particular, one of the procedures is shown to be optimal in this asymptotic sense. By appealing to asymptotic results a discussion of the relative merits of the three sequential procedures as considered in practice is given.
Publié le : 1963-12-14
Classification: 
@article{1177703880,
     author = {Roberts, Charles DeWitt},
     title = {An Asymptotically Optimal Sequential Design for Comparing Several Experimental Categories with a Control},
     journal = {Ann. Math. Statist.},
     volume = {34},
     number = {4},
     year = {1963},
     pages = { 1486-1493},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177703880}
}
Roberts, Charles DeWitt. An Asymptotically Optimal Sequential Design for Comparing Several Experimental Categories with a Control. Ann. Math. Statist., Tome 34 (1963) no. 4, pp.  1486-1493. http://gdmltest.u-ga.fr/item/1177703880/