Add to ORKGA simple method is provided to construct a general class of individual and simultaneous confidence intervals for the effects in orthogonal saturated designs. These intervals use the data adaptively, maintain the confidence levels sharply at 1 - α at the least favorable parameter configuration, work effectively under effect sparsity, and include the intervals by Wang and Voss (2001) as a special case
A sequence of null hypotheses regarding the number of negligible effects (zero effects) in orthogona...
We provide adaptive confidence intervals on a parameter of interest in the presence of nuisance para...
Confidence sets play a fundamental role in statistical inference. In this paper, we consider confide...
A simple method is provided to construct a general class of individual and simultaneous confidence i...
Abstract: A simple method is provided to construct a general class of individual and simultaneous co...
Individual and simultaneous confidence intervals using the data adaptively are constructed for the e...
Adaptive, size-a step-down tests are provided for the analysis of orthogonal saturated designs. The ...
A general procedure is described for examining the significance of effects in experiments utilizing ...
We describe a general method for finding a confidence region for a parameter vector that is compatib...
We construct honest confidence regions for a Hilbert space-valued parameter in various statistical m...
Abstract: The difficulty of analyzing orthogonal saturated designs is that there are no degrees of f...
Tech ReportGiven a sample set X1,...,XN of independent identically distributed real-valued random va...
To assess the effectiveness of a treatment in phase II clinical trial for cancer study, an adaptive ...
A nonparametric adaptation theory is developed for the construction of confidence intervals for line...
A nonparametric adaptation theory is developed for the construction of confidence intervals for line...
A sequence of null hypotheses regarding the number of negligible effects (zero effects) in orthogona...
We provide adaptive confidence intervals on a parameter of interest in the presence of nuisance para...
Confidence sets play a fundamental role in statistical inference. In this paper, we consider confide...
A simple method is provided to construct a general class of individual and simultaneous confidence i...
Abstract: A simple method is provided to construct a general class of individual and simultaneous co...
Individual and simultaneous confidence intervals using the data adaptively are constructed for the e...
Adaptive, size-a step-down tests are provided for the analysis of orthogonal saturated designs. The ...
A general procedure is described for examining the significance of effects in experiments utilizing ...
We describe a general method for finding a confidence region for a parameter vector that is compatib...
We construct honest confidence regions for a Hilbert space-valued parameter in various statistical m...
Abstract: The difficulty of analyzing orthogonal saturated designs is that there are no degrees of f...
Tech ReportGiven a sample set X1,...,XN of independent identically distributed real-valued random va...
To assess the effectiveness of a treatment in phase II clinical trial for cancer study, an adaptive ...
A nonparametric adaptation theory is developed for the construction of confidence intervals for line...
A nonparametric adaptation theory is developed for the construction of confidence intervals for line...
A sequence of null hypotheses regarding the number of negligible effects (zero effects) in orthogona...
We provide adaptive confidence intervals on a parameter of interest in the presence of nuisance para...
Confidence sets play a fundamental role in statistical inference. In this paper, we consider confide...