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If Y follows a Beta(a; b) distribution, then we know that E(Y ) = mu = a/(a + b) and Var(Y ) = sigma^2 = ab/((a + b)^2(a + b + 1)) This gives us mu and sigma^2 in terms of a and b. Derive equations for a and b in terms of mu and sigma^2
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