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3. If e is a point estimator of the parameter 0, with E(@) = 0, then e is a(an) ( A. biased estimator B. MVUE C. unbiased estimator D. minimum variance estimator

3. If e is a point estimator of the parameter 0, with E(@) = 0, then e is a(an) ( A. biased estimator B. MVUE C. unbiased estimator D. minimum variance estimator

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.3: The Natural Exponential Function
Problem 44E
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3. If e is a point estimator of the parameter 0, with E(@) = 0, then e is a(an) ( %3D A. biased estimator B. MVUE C. unbiased estimator D. minimum variance estimator
Transcribed Image Text:3. If e is a point estimator of the parameter 0, with E(@) = 0, then e is a(an) ( %3D A. biased estimator B. MVUE C. unbiased estimator D. minimum variance estimator
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