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An Analysis of Multiple Variance for The Multivariate Split-Block Design
Author(s) -
Khawla Abdul Razzaq Swadi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1818/1/012109
Subject(s) - multivariate analysis of variance , block design , multivariate statistics , intersection (aeronautics) , statistics , variance (accounting) , block (permutation group theory) , mathematics , test (biology) , matrix (chemical analysis) , multivariate analysis , computer science , combinatorics , engineering , paleontology , materials science , accounting , business , composite material , biology , aerospace engineering
This paper studies an important type of multi-factor experiments designs called (Split-Blocks experiment Design). And we’re going to use the orthogonal matrix to convert the observation matrix. Also, we study the analysis of variance for the Multivariate split-Blocks design. And we discuss the test statistics for Lawley-Hotelling test, Roy’s Union-Intersection test and Walks, Lambda test.

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