A Comparative Study of Performance of Adaptive Web Sampling and General Inverse Adaptive Sampling in Estimating Olive Production in Iran

Abstract: Nowadays, there is an increasing use of sampling methods in network and spatial populations. Although the most common link-tracing designs such as adaptive cluster sampling and snowball sampling have advantages over conventional sampling designs such as simple random sampling and cluster sampling, these designs still present many drawbacks. Adaptive web sampling is a new link-tracing design that overcomes some of the drawbacks. In this paper, after introducing adaptive web sampling design, an application of this method to estimate total production of olive in Iran using 1382 census data of agriculture is presented. Then by conducting a simulation study the performance of adaptive web sampling in estimating total olive production will be compared with that of general inverse adaptive sampling.