Testing equality of two mean vectors with monotone incomplete data
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Publication:6116256
DOI10.1080/03610918.2020.1861291OpenAlexW3130899708MaRDI QIDQ6116256
Zofia Hanusz, Takashi Seo, Ayaka Yagi
Publication date: 18 July 2023
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1861291
Cites Work
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- Two-sample inference for normal mean vectors based on monotone missing data
- Some simple test procedures for normal mean vector with incomplete data
- On the asymptotic distribution of \(T^2\)-type statistic with two-step monotone missing data
- Testing Equality of Mean Vectors in Two Sample Problem with Missing Data
- Confidence estimation of a normal mean vector with incomplete data
- An asymptotic expansion for the distribution of the linear discriminant function based on monotone missing data
- Finite-sample inference with monotone incomplete multivariate normal data, III: Hotelling’s T2-statistic
- Testing equality of mean vectors in a one-way MANOVA with monotone missing data
- Asymptotic power comparison of T2-type test and likelihood ratio test for a mean vector based on two-step monotone missing data
- Improved simplified T2 test statistics for a mean vector with monotone missing data
- Bartlett correction to the likelihood ratio test for MCAR with two‐step monotone sample
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