# RELATIVE ERRORS IN CENTRAL LIMIT THEOREMS FOR STUDENT'S t STATISTIC, WITH APPLICATIONS

@inproceedings{Wang2009RELATIVEEI, title={RELATIVE ERRORS IN CENTRAL LIMIT THEOREMS FOR STUDENT'S t STATISTIC, WITH APPLICATIONS}, author={Qiying Wang and Peter Hall}, year={2009} }

Student's t statistic is frequently used in practice to test hypotheses about means. Today, in fields such as genomics, tens of thousands of t-tests are implemented simultaneously, one for each component of a long data vector. The distributions from which the t statistics are computed are almost invariably non- normal and skew, and the sample sizes are relatively small, typically about one thousand times smaller than the number of tests. Therefore, theoretical investi- gations of the accuracy… Expand

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