Estimating the variance of the sample mean in two-dimensional systematic sampling

摘要: This article investigates the problem of estimating sampling error when population mean (total) is estimated from a single two-dimensional systematic sample. In particular, extensions known approximate variance estimators used in linear are introduced. These almost new have advantage taking into account spatial ordering sample units and, consequently, autocorrelation among them. An investigation their properties carried out through series simulations and an empirical study.