New Test Statistics for One and Two Mean Vectors with Two-step Monotone Missing Data
Mizuki Onozawa,
Ayaka Yagi and
Takashi Seo
International Journal of Statistics and Probability, 2020, vol. 9, issue 6, 56
Abstract:
We consider the tests for a single mean vector and two mean vectors with two-step monotone missing data. In this paper, we propose new test statistics for one sample and two sample designs based on the simplified T^2-type test statistic. Further, we present the approximation to the upper percentiles of these statistics and propose the transformed test statistics. Finally, we investigate the accuracy and asymptotic behavior of the approximation for X^2 distribution by a Monte Carlo simulation.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijspjl:v:9:y:2020:i:6:p:56
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