In Section 3.3, let k = 2, and separate terms Xi = (X i1 ,X i2 ),
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In Section 3.3, let k = 2, and separate terms Xi = (Xi1,Xi2), where Xi1,Xi2 are independent and have the standard exponential distribution. Let the vector e= (1,1). For large n, estimate P(|Sn −n · e| ≤ √n).
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Each term X has a mean of e and a covariance matrix equal to the identity matrix 1 H...View the full answer
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