Question

Explain how calculations in the preceding example show that $X_1+$ $\cdots+X_d$ is independent of the random vector ( $Y_1, \ldots, Y_d$ ).

   Explain how calculations in the preceding example show that $X_1+$ $\cdots+X_d$ is independent of the random vector ( $Y_1, \ldots, Y_d$ ).
A Modern Approach to Probability Theory (Probability and Its Applications)
A Modern Approach to Probability Theory (Probability and Its Applications)
Bert E. Fristedt,… 1st Edition
Chapter 10, Problem 28 ↓

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We have two sets of random variables: \(X_1, \ldots, X_d\) and \(Y_1, \ldots, Y_d\). We need to show that the sum \(S = X_1 + \cdots + X_d\) is independent of the vector \((Y_1, \ldots, Y_d)\).  Show more…

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Explain how calculations in the preceding example show that $X_1+$ $\cdots+X_d$ is independent of the random vector ( $Y_1, \ldots, Y_d$ ).
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