Robust Semiparametric Optimal Testing Procedure for Multiple Normal Means
نویسندگان
چکیده
منابع مشابه
Robust Semiparametric Optimal Testing Procedure for Multiple Normal Means
In high-dimensional gene expression experiments such as microarray and RNA-seq experiments, the number of measured variables is huge while the number of replicates is small. As a consequence, hypothesis testing is challenging because the power of tests can be very low after controlling multiple testing error. Optimal testing procedures with high average power while controlling false discovery r...
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متن کاملrobust tests for testing the parameters of a normal population
this article aims to provide a simple robust method to test the parameters of a normal population by using the new diagnostic tool called the “forward search” (fs) method. the most commonly used procedures to test the mean and variance of a normal distribution are student’s t test and chi-square test, respectively. these tests suffer from the presence of outliers. we introduce the fs version of...
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ژورنال
عنوان ژورنال: Journal of Probability and Statistics
سال: 2012
ISSN: 1687-952X,1687-9538
DOI: 10.1155/2012/913560