Suppose that a statistician is faced with a decision problem involving an unknown parameter. Before making his decision he can carry out one of two possible experiments. Assume that he may choose at random which of the two experiments he will observe. For this problem a decision procedure for the statistician is a triple consisting of the randomizing probability measure he uses to choose between the experiments, the decision function he uses if he observes the first experiment and the decision function he uses if he observes the second experiment. The main theorem of this paper identifies the set of such admissible triples when the parameter space, and the sample spaces of the two experiments are finite. This result is then used to find some uniformly admissible procedures for some problems in finite population sampling.
Publié le : 1983-03-14
Classification:
Choosing between experiments,
admissibility,
Bayes,
orthogonal priors,
finite population sampling,
uniform admissibility,
ratio estimator,
Horvitz-Thompson estimator,
Basu estimator,
choice of designs,
62C15,
62D05,
62C10
@article{1176346080,
author = {Meeden, Glen and Ghosh, Malay},
title = {Choosing Between Experiments: Applications to Finite Population Sampling},
journal = {Ann. Statist.},
volume = {11},
number = {1},
year = {1983},
pages = { 296-305},
language = {en},
url = {http://dml.mathdoc.fr/item/1176346080}
}
Meeden, Glen; Ghosh, Malay. Choosing Between Experiments: Applications to Finite Population Sampling. Ann. Statist., Tome 11 (1983) no. 1, pp. 296-305. http://gdmltest.u-ga.fr/item/1176346080/