Sensitivity of normal-based triple sampling sequential point estimation to the normality assumption

摘要

This article discusses the sensitivity of the sequential normal-based triple sampling procedure for estimating the population mean to departures from normality. We assume only that the underlying population has finite but unknown first four moments and find that asymptotically the behaviour of the estimator and the sample size depend on both the skewness and kurtosis of the underlying distribution, when using a squared error loss function with linear sampling cost. We supplement our findings with a simulation experiment to study the performance of the estimator and the sample size in a range of conditions.