Exercise 4. Consider X,Y, Z three independent random variables Gaussianly distributed N(0, 1). Prove that (X – Y)² + (X – Z)² + (Y – Z)² is independant from X +Y + Z.

Linear Algebra: A Modern Introduction
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Chapter3: Matrices
Section3.7: Applications
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Exercise 4. Consider X,Y, Z three independent random variables Gaussianly distributed
N(0, 1). Prove that (X – Y)² + (X – Z)² + (Y – Z)² is independant from X +Y + Z.
Transcribed Image Text:Exercise 4. Consider X,Y, Z three independent random variables Gaussianly distributed N(0, 1). Prove that (X – Y)² + (X – Z)² + (Y – Z)² is independant from X +Y + Z.
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