Tang Yan-yu
Abstract
In theory and practice, the unbiased estimator occupies an important states. Being different from the same parameter, the unbiased estimator is the basic needing. For identification of estimator, the key lies in unknown expectation of estimation of parameter.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In theory and practice, the unbiased estimator occupies an important states. Being different from the same parameter, the unbiased estimator is the basic needing. For identification of estimator, the key lies in unknown expectation of estimation of parameter.
Key concepts: Stein's unbiased risk estimate, Estimator, Bias of an estimator, Minimum-variance unbiased estimator, Identification (biology), U-statistic, Mathematics, Unbiased Estimation