منابع مشابه
A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity
Fisher randomization tests for Neyman’s null hypothesis of no average treatment effects are considered in a finite population setting associated with completely randomized experiments with more than two treatments. The consequences of using the F statistic to conduct such a test are examined both theoretically and computationally, and it is argued that under treatment effect heterogeneity, use ...
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There is a simple robust variance estimator for cluster-correlated data. While this estimator is well known, it is poorly documented, and its wide range of applicability is often not understood. The estimator is widely used in sample survey research, but the results in the sample survey literature are not easily applied because of complications due to unequal probability sampling. This brief no...
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The homogeneity of variance assumption is one of the critical assumptions underlyingmost parametric statistical procedures such as the analysis of variance and it is important to be able to test this assumption. In addition, showing that several samples do not come from populations with the same variance is sometimes of importance per se. Among the many procedures used to test this assumption, ...
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Recent work by Lorentz and Boyd present a robust minimal variance beamformer (RMVB) that is robust to the transmitter angle of arrival. In the current work we extend the RMVB construction in two directions. First, we propose a distributed algorithm that be computed jointly by the receiving antennas. Second, we extend the RMVB model to allow uncertainties in both phase and amplitude of the recei...
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ژورنال
عنوان ژورنال: Applicationes Mathematicae
سال: 1991
ISSN: 1233-7234,1730-6280
DOI: 10.4064/am-21-3-441-448