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islandgurl islandgurl
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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

Introductory Statistics: A Problem-Solving Approach


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Akabbett1Akabbett1
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