@inproceedings{4d895c7318ae4bb0912b205fe70a1718,
title = "Discovering test statistics using genetic programming",
abstract = "We describe a genetic programming-based system for the automated discovery of new test statistics. Specifically, our system was able to discover test statistics as powerful as the t-test for comparing sample means from two distributions with equal variances [1].",
keywords = "Genetic Programming, Optimization, Statistics, T-Test",
author = "Moore, {Jason H.} and Yong Chen and Olson, {Randal S.} and Moshe Sipper",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s).; 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 ; Conference date: 13-07-2019 Through 17-07-2019",
year = "2019",
month = jul,
day = "13",
doi = "10.1145/3319619.3326754",
language = "English",
series = "GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery, Inc",
pages = "29--30",
booktitle = "GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion",
}