summary:In this paper properties of some ranking and selection procedures based on robust $L$-estimates of location parameter are studied. The least favorable configuration of parameters and the asymptotic efficiency relative to procedures based on sample means are found
.A sequence of equivariant estimators of a location parameter, which is asymptotically most robust w...
In this article, we derived the Best Linear Unbiased Estimator (BLUE) of the location parameter of c...
Research on model/procedure selection has focused on selecting a single model globally. In many appl...
summary:In this paper properties of some ranking and selection procedures based on robust $L$-estima...
Methods of robust statistics are successfully used in the situations when certain sample values diff...
summary:The problem of selecting a subset of polulations containing the population with the largest ...
Robust estimation, M-, L- and R-estimators, asymptotic biases, asymptotic variances, asymmetric cont...
Let pi(i), i = 1, 2,..., k be k independent exponential populations with different unknown location ...
Nonparametric procedures use weak assumptions such as continuity of the distribution so that they ar...
This thesis deals with some statistical selection and ranking problems. Classical subset selection p...
Confidence statements about location (or scale) parameters associated with k populations, which may ...
Note:The asymptotic properties of a new class of estimators of the location parameter are investigat...
The dependence of the performance of linear location estimators on the shape of the probability dens...
This paper proposes a rank-based estimator for a location parameter in the binary choice model under...
In this paper, an exact lower confidence bound on the distance between any two ranked location param...
.A sequence of equivariant estimators of a location parameter, which is asymptotically most robust w...
In this article, we derived the Best Linear Unbiased Estimator (BLUE) of the location parameter of c...
Research on model/procedure selection has focused on selecting a single model globally. In many appl...
summary:In this paper properties of some ranking and selection procedures based on robust $L$-estima...
Methods of robust statistics are successfully used in the situations when certain sample values diff...
summary:The problem of selecting a subset of polulations containing the population with the largest ...
Robust estimation, M-, L- and R-estimators, asymptotic biases, asymptotic variances, asymmetric cont...
Let pi(i), i = 1, 2,..., k be k independent exponential populations with different unknown location ...
Nonparametric procedures use weak assumptions such as continuity of the distribution so that they ar...
This thesis deals with some statistical selection and ranking problems. Classical subset selection p...
Confidence statements about location (or scale) parameters associated with k populations, which may ...
Note:The asymptotic properties of a new class of estimators of the location parameter are investigat...
The dependence of the performance of linear location estimators on the shape of the probability dens...
This paper proposes a rank-based estimator for a location parameter in the binary choice model under...
In this paper, an exact lower confidence bound on the distance between any two ranked location param...
.A sequence of equivariant estimators of a location parameter, which is asymptotically most robust w...
In this article, we derived the Best Linear Unbiased Estimator (BLUE) of the location parameter of c...
Research on model/procedure selection has focused on selecting a single model globally. In many appl...
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