Add to ORKGA local power bound is obtained for asymptotic level-[alpha] tests in the presence of infinitely many nuisance parameters. Likelihood ratio tests, conditioning on P-ancillary statistics or based on marginal P-sufficient statistics, attain this power bound, and are thus locally most powerful similar. The efficiency of the marginal likelihood ratio tests based on conditional P-sufficient statistics is also discussed.Ancillarity Sufficiency Nuisance parameters Asymptotic efficiency Local asymptotic normality Likelihood ratio tests
We review the most common situations where one or some of the regularity conditions which ...
This article proposes a new test that is consistent, achieves correct asymptotic size, and is locall...
This paper is concerned with the problem of testing a subset of the parameters which characterize th...
We consider hypothesis testing problems in which a nuisance parameter is present only under the alte...
The scan test statistic is the supremum of a set of test statistics and is often used to resolve mul...
This paper establishes the asymptotic admissibility of the likelihood ratio (LR) test for a general ...
This thesis deals with two topics in asymptotic statistics. A concept of asymptotic optimality for s...
We consider testing hypotheses about the location parameter of a symmetric distribution when a finit...
We consider inference on a scalar parameter of interest in the presence of a nuisance parameter, usi...
We study the problem of testing for equality at a flxed point in the setting of nonparametric estima...
This paper derives asymptotically optimal tests for testing problems in which a nuisance parameter e...
The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of t...
It is clear that the likelihood ratio statistics plays an important role in theories of asymptotical...
This paper shows that the problem of testing hypotheses in moment condition models without any assum...
In a likelihood-ratio test for a two-component Normal location mixture, the natural parametrisation ...
We review the most common situations where one or some of the regularity conditions which ...
This article proposes a new test that is consistent, achieves correct asymptotic size, and is locall...
This paper is concerned with the problem of testing a subset of the parameters which characterize th...
We consider hypothesis testing problems in which a nuisance parameter is present only under the alte...
The scan test statistic is the supremum of a set of test statistics and is often used to resolve mul...
This paper establishes the asymptotic admissibility of the likelihood ratio (LR) test for a general ...
This thesis deals with two topics in asymptotic statistics. A concept of asymptotic optimality for s...
We consider testing hypotheses about the location parameter of a symmetric distribution when a finit...
We consider inference on a scalar parameter of interest in the presence of a nuisance parameter, usi...
We study the problem of testing for equality at a flxed point in the setting of nonparametric estima...
This paper derives asymptotically optimal tests for testing problems in which a nuisance parameter e...
The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of t...
It is clear that the likelihood ratio statistics plays an important role in theories of asymptotical...
This paper shows that the problem of testing hypotheses in moment condition models without any assum...
In a likelihood-ratio test for a two-component Normal location mixture, the natural parametrisation ...
We review the most common situations where one or some of the regularity conditions which ...
This article proposes a new test that is consistent, achieves correct asymptotic size, and is locall...
This paper is concerned with the problem of testing a subset of the parameters which characterize th...