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### 23 Cards in this Set

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 pg 450 -Proof on page 450. -Similar to Chebyshev's Theorem (see page 207). Maximim Likelihood Method Method od Moments Sufficient Stat (Def) Sufficiency: Factorization Criterion What does "theta-hat n converges in probability to theta" mean? "Theta-hat n is a CONSISTENT estimator for theta" Suppose U has a distribution that converges on a standard normal distribution as n-->infinity. If W converges in probability to 1, then U/W converges to standard normal. Minimum Variance Unbiased Estimator dis of sums of norms Dist of norms sums proof Distribution Function Method Dist of SUM Zi square Distribution of SUM of random Vars Jacobian MGF Method Multivariate Transformation Order Statistics proof MAX Order Statistics Proof MIN Order Statistics Transformation Method