Estimating a nonlinear function of a normal mean
正态均值的非线性函数估计
We derive a Monte-Carlo-amenable, minimum variance unbiased estimator of a nonlinear function of a normal mean and the variance of the estimator. Applications to problems arising in the analysis of data measured with error are described.