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23 Cards in this Set
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- Back
- 3rd side (hint)
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pg 450 |
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-Proof on page 450. -Similar to Chebyshev's Theorem (see page 207). |
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Maximim Likelihood Method
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Method od Moments
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Sufficient Stat (Def)
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Sufficiency: Factorization Criterion
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What does "theta-hat n converges in probability to theta" mean?
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"Theta-hat n is a CONSISTENT estimator for theta"
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Suppose U has a distribution that converges on a standard normal distribution as n-->infinity. If W converges in probability to 1, then
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U/W converges to standard normal.
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Minimum Variance Unbiased Estimator
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dis of sums of norms
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Dist of norms sums proof
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Distribution Function Method
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Dist of SUM Zi square
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Distribution of SUM of random Vars
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Jacobian
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MGF Method
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Multivariate Transformation
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Order Statistics proof MAX
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Order Statistics Proof MIN
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Order Statistics
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Transformation Method
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