Confidence Interval Estimation for Means after Data Transformations to Normality
数据正态化变换后原尺度均值的置信区间估计
When data are transformed to satisfy a spherical normal linear model, the mean θ of a variate in the original scale is a function of the mean μ and variance σ2 of a normal variate. We consider several approximate confidence interval methods for θ, including a new method based on exact confidence intervals for linear functions of μ and σ2. Monte Carlo estimates of coverage probabilities demonstrate the suitability of the new method for applications involving a wide range of…