Example 17-21. Show that X = 2 X¡ / n, in random sampling from i= 1 %3D exp (-x/θ , 0 < x < ~ f(x, 0) = %3D 0, otherwise where 0< 0< o, is an MVB estimator of 0 and has variance In.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 9E
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Example 17-21. Show that X = £ X¡ / n, in random sampling from
i=1
- exp (-x/0), 0 <x < ∞
f(x, 0) =
%3D
0, otherwise
where 0 < 0<o, is an MVB estimator of 0 and has variance &/n.
Transcribed Image Text:n Example 17-21. Show that X = £ X¡ / n, in random sampling from i=1 - exp (-x/0), 0 <x < ∞ f(x, 0) = %3D 0, otherwise where 0 < 0<o, is an MVB estimator of 0 and has variance &/n.
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