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Exact distribution of MLE of covariance matrix in a GMANOVA-MANOVA model

机译:GMANOVA-MANOVA模型中协方差矩阵的MLE的精确分布

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For a GMANOVA-MANOVA model with normal error: Y = XB_1Z_1~T + B_2Z_2~T + E, E ~ N_(q x n)(0, I_n directX Σ), the present paper is devoted to the study of distribution of MLE, Σ, of covariance matrix Σ. The main results obtained are stated as follows: (1) When rk(Z) -rk(Z_2) ≥ q-rk(X), the exact distribution of Σ is derived, where Z = (Z_1,Z_2), rk(A) denotes the rank of matrix A. (2) The exact distribution of |Σ| is gained. (3) It is proved that ntT{[Σ~(-1)-Σ~(-1)XM(M~TX~TΣ~(-1)XM)~(-1)M~TX~TΣ~(-1)]Σ} has χ_((q-rk)(X))(n-rk(Z_2)))~2 distribution, where M is the matrix whose columns are the standardized orthogonal eigenvectors corresponding to the nonzero eigenvalues of X~TΣ~(-1)X.
机译:对于具有正态误差的GMANOVA-MANOVA模型:Y = XB_1Z_1〜T + B_2Z_2〜T + E,E〜N_(qxn)(0,I_n directXΣ),本论文致力于研究MLE,Σ的分布。 ,则为协方差矩阵Σ。得到的主要结果如下:(1)当rk(Z)-rk(Z_2)≥q-rk(X)时,得出Σ的精确分布,其中Z =(Z_1,Z_2),rk(A )表示矩阵A的秩。(2)|Σ|的精确分布获得。 (3)证明ntT {[Σ〜(-1)-Σ〜(-1)XM(M〜TX〜TΣ〜(-1)XM)〜(-1)M〜TX〜TΣ〜(- 1)]Σ}具有χ_((q-rk)(X))(n-rk(Z_2)))〜2分布,其中M是矩阵,其列是对应于X〜的非零特征值的标准化正交特征向量TΣ〜(-1)X。

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