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- W3036451764 abstract "We continue our recent work on the problem of testing the equality of two normal mean vectors when the data have two-step monotone pattern missing observations. This paper extends the two-sample problem in our previous paper to the k-sample problem. Under the assumption that the population covariance matrices are equal, we obtain the likelihood ratio test statistic for testing the hypothesis H0:μ(1)=μ(2)=⋯=μ(k) against H1 : at least two μ(i)s are unequal. Then, we provide Hotelling’s T2 type statistic for testing any two mean vectors and propose the approximate upper percentile of this statistic. The accuracy of the approximation is investigated by Monte Carlo simulation." @default.
- W3036451764 created "2020-06-25" @default.
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- W3036451764 date "2012-06-01" @default.
- W3036451764 modified "2023-10-04" @default.
- W3036451764 title "Tests for mean vectors with two-step monotone missing data for the k-sample problem" @default.
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- W3036451764 doi "https://doi.org/10.55937/sut/1358530532" @default.
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