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islandgurl islandgurl
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A month ago
Consider an arbitrary parameterδ. If we identify an estimator\(\style{font-family:Times New Roman;}{\widehat\delta}\)such that\(\style{font-family:Times New Roman;}{E\left(\widehat\delta\right)=\delta}\), then:


\(\style{font-family:Times New Roman;}{\widehat\delta=\delta}\).



\(\style{font-family:Times New Roman;}{\widehat\delta}\)is unbiased for\(\style{font-family:Times New Roman;}{\delta.}\)



the maximum likelihood value for\(\style{font-family:Times New Roman;}{\widehat\delta}\)is\(\style{font-family:Times New Roman;}{\delta.}\)



the exponential value for\(\style{font-family:Times New Roman;}{\widehat\delta}\)is\(\style{font-family:Times New Roman;}\delta\).

Textbook 

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
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Akabbett1Akabbett1
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\(\style{font-family:Times New Roman;}{\widehat\delta}\)is unbiased for\(\style{font-family:Times New Roman;}{\delta.}\)



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islandgurl Author
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A month ago
Helped a lot
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Yesterday
Thanks
yen
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2 hours ago
Thanks for your help!!
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