UMP Test Flashcards

1
Q

Uniformly Most Powerful (UMP) Test

A

A hypothesis test that is most powerful for all values in the alternative hypothesis space. Maximizes power uniformly over composite alternatives.

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2
Q

UMP Test Conditions

A
  1. Size condition: max P(X in R* | θ in H0) = α. 2. Power condition: for all θ in H1, P(X in R* | θ) ≥ P(X in R | θ) for any other test R of size α.
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3
Q

UMP Test: Step 1

A

Reduce the problem to a simple vs. simple test by selecting a specific parameter value (e.g., λ1 > λ0) from the composite alternative.

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4
Q

UMP Test: Step 2

A

Construct the most powerful test using Neyman-Pearson lemma for H0: λ = λ0 vs. H1: λ = λ1.

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5
Q

Likelihood Ratio Test for Exponential

A

Reject H0 if (λ0/λ1)^n * exp(-(λ0 - λ1) * sum Xi) ≤ c. Rejection region depends on whether λ1 > λ0 or λ1 < λ0.

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6
Q

Rejection Region for λ1 > λ0

A

Reject H0 if 2λ0 * sum Xi < χ²_{1-α, 2n}. This is a lower-tailed test using the chi-square distribution.

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7
Q

Rejection Region for λ1 < λ0

A

Reject H0 if 2λ0 * sum Xi > χ²_{α, 2n}. This is an upper-tailed test using the chi-square distribution.

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8
Q

Chi-Square Relation

A

If Xi ~ Exp(λ), then 2λ * sum Xi ~ χ²_{2n}. Used to derive the critical region of the UMP test.

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9
Q

UMP for Two-Sided Alternative?

A

No UMP test exists for H1: λ ≠ λ0 because different values of λ1 require different rejection regions. No single region works uniformly.

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10
Q

Key Insight for UMP Tests

A

A UMP test for one-sided alternatives can be derived using Neyman-Pearson if the rejection region does not depend on specific λ1, only its inequality to λ0.

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