A random vector ((xi, eta)) is normally distributed; (boldsymbol{M} xi=a, mathbf{M} eta=b, mathbf{D} xi=sigma_{1}^{2}), (D eta=sigma_{2}^{2}), and

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A random vector \((\xi, \eta)\) is normally distributed; \(\boldsymbol{M} \xi=a, \mathbf{M} \eta=b, \mathbf{D} \xi=\sigma_{1}^{2}\), \(D \eta=\sigma_{2}^{2}\), and \(R\) is the correlation coefficient of \(\xi\) and \(\eta\). Prove that \(R=\cos q \pi\) where \(q=\mathbf{P}\{(\xi-a)(\eta-b)<0\}\).

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Theory Of Probability

ISBN: 9781351408585

6th Edition

Authors: Boris V Gnedenko

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