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Artusartos
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Homework Statement
The random sample [itex]X_1, ... , X_n[/itex] has a [itex]N(0, \theta)[/itex] distribution. So now I have to solve for c such that [itex]Y= c \sum^n_{i=1}[/itex] is an unbiased estimator for [itex]\sqrt{\theta}[/itex].
Homework Equations
The Attempt at a Solution
[itex]E(c \sum^n_{i=1} |X_i|) = c \sum^n_{i=1} E(|X_i|) = c \sum^n_{i=1} \int \frac{|X_i|}{\sqrt{2(\pi)(\theta)}}e^{-X_i/(2\theta)}[/itex]
So now I have to solve...
[itex] c \sum^n_{i=1} \int \frac{|X_i|}{\sqrt{2(\pi)(\theta)}} e^{-X_i/(2\theta)} = \sqrt(\theta)[/itex], right? But how can I integrate the absolute value of [itex]X_i[/itex]?
Thanks in advance
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