Question
) and
Check the
independence
Answer :
Word Count : 332
We are given: $$ \underline{X} = \begin{pmatrix} X_1 \\ X_2 \\ X_3 \\ X_4 \end{pmatrix} \sim N_4\left( \underline{\mu}, \underline{\Sigma} \right), \quad \text{where} \quad \underline{\mu} = \begin{pmatrix} 3 \\ -2 \\ 1 \\ -2 \end{pmatrix}, \quad \underline{\Sigma} = \begin{pmatrix} 4 & 0 & 0 & 0 \\ 0 & 3 & 0 & 0 \\ 0 & 0 & 2 & -2 \\ 0 & 0 & -2 & 5 \end{pmatrix} $$ --- ### ✦ Key Concept: In a multivariate normal distribution, two components _________ __________ ____ ___ _______ __________ ________ _______ ______ ____ _____.
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We are given: $$ \underline{X} = \begin{pmatrix} X_1 \\ X_2 \\ X_3 \\ X_4 \end{pmatrix} \sim N_4\left( \underline{\mu}, \underline{\Sigma} \right), \quad \text{where} \quad \underline{\mu} = \begin{pmatrix} 3 \\ -2 \\ 1 \\ -2 \end{pmatrix}, \quad \underline{\Sigma} = \begin{pmatrix} 4 & 0 & 0 & 0 \\ 0 & 3 & 0 & 0 \\ 0 & 0 & 2 & -2 \\ 0 & 0 & -2 & 5 \end{pmatrix} $$ --- ### ✦ Key Concept: In a multivariate normal distribution, two components _________ __________ ____ ___ _______ __________ ________ _______ ______ ____ _____.
_______ ______ ____ _____ _________ __________ __________ _______ _______ _______ __________ ______.
____ ___ ____ _______ ____ ___ ___ ___ _____ ___ __________ _________.
_______ _____ ______ _______ ____ ___ ___ ______ ________.
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