Suppose (mathbf{x} sim M N(n, boldsymbol{pi})) follows a multinomial distribution of size (n) and probability (pi). Derive

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Suppose $\mathbf{x} \sim M N(n, \boldsymbol{\pi})$ follows a multinomial distribution of size $n$ and probability $\pi$. Derive the variance matrix of $\mathbf{x}$.

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Applied Categorical And Count Data Analysis

ISBN: 9780367568276

2nd Edition

Authors: Wan Tang, Hua He, Xin M. Tu

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Question Posted: Mar 31, 2024 12:00 AM

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Suppose (mathbf{x} sim M N(n, boldsymbol{pi})) follows a multinomial distribution of size (n) and probability (pi). Derive

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The variance matrix of a multinomial distribution describes the variances of each element number of ...View the full answer

Applied Categorical And Count Data Analysis

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