Title: Consider an arbitrary parameter. If we identify an estimator\(\style{font-family:Times New ... Post by: islandgurl on Feb 19, 2023 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\(\style{font-family:Times New Roman;}\delta\). Title: Re: Consider an arbitrary parameter. If we identify an estimator\(\style{font-family:Times New ... Post by: Akabbett1 on Feb 19, 2023 Content hidden
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