Abstract
In practice there are cases where multivariate T 2-comparisons are needed when the data set is augmented sequentially. Sometimes the entries are not indepentend, and the main assumption is violated. In the paper the multiple-multivariate-sequential T 2-comparisons are introduced through the likelihood function and Fisher’s information matrix.
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© 1994 Springer Science+Business Media Dordrecht
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Kitsos, C.P. (1994). Multiple-Multivariate-Sequential T 2 -Comparisons. In: Caliński, T., Kala, R. (eds) Proceedings of the International Conference on Linear Statistical Inference LINSTAT ’93. Mathematics and Its Applications, vol 306. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1004-4_5
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DOI: https://doi.org/10.1007/978-94-011-1004-4_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4436-3
Online ISBN: 978-94-011-1004-4
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