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Estimating the variance of the sample mean in two-dimensional systematic sampling
| Content Provider | Scilit |
|---|---|
| Author | D’Orazio, Marcello |
| Copyright Year | 2003 |
| Description | This article investigates the problem of estimating the sampling error when the population mean (total) is estimated from a single two-dimensional systematic sample. In particular, two-dimensional extensions of known approximate variance estimators used in linear systematic sampling are introduced. These almost new variance estimators have the advantage of taking into account the spatial ordering of sample units and, consequently, the spatial autocorrelation among them. An investigation of their properties is carried out through a series of simulations and an empirical study. |
| Related Links | http://link.springer.com/content/pdf/10.1198%2F1085711032174.pdf |
| Ending Page | 295 |
| Page Count | 16 |
| Starting Page | 280 |
| ISSN | 10857117 |
| e-ISSN | 15372693 |
| DOI | 10.1198/1085711032174 |
| Journal | Journal of Agricultural, Biological and Environmental Statistics |
| Issue Number | 3 |
| Volume Number | 8 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2003-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Agricultural, Biological and Environmental Statistics Mathematical Psychology Statistics and Probability Variance Estimators Sampling Error Two Dimensional Systematic Dimensional Systematic Sample Sample Mean Systematic Sampling Approximate Variance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty |
