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# Consider an arbitrary parameter. If we identify an estimator$$\style{font-family:Times New ... wrote... Posts: 61 Rep: 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
Author:
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Akabbett1Akabbett1
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