Let X 1 , X 2 , ⋯,Xn be a random sample from a normal distribution with mean µ
and variance σ2. Consider e X as an estimator of e µ where X is the sample
µ mean. Show that e X is consistent estimator of e .
Showing that X is a consistent ( unbiased ) estimator for u.
E(estimator)=E(1n∑X)E(estimator )= E(\frac{1}{n}\sum X)E(estimator)=E(n1∑X)
=1n∑E(x)=\frac{1}{n}\sum E(x)=n1∑E(x)
=1n∑u\frac{1}{n}\sum un1∑u
1nn.u\frac{1}{n} n.un1n.u
Therefore E(estimator)=uE( estimator )= uE(estimator)=u
For clarity on the missing information in the equations see the picture attached.
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