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:: Volume 11, Issue 1 (9-2014) ::
JSRI 2014, 11(1): 1-23 Back to browse issues page
A Comparative Study of Performance of Adaptive Web Sampling and General Inverse Adaptive Sampling in Estimating Olive Production in Iran
Ada Afshar * , Hamidreza Navvabpour
, adaaf@gmail.com
Abstract:   (1969 Views)

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

Keywords: Roa-Blackwell estimator, Markov chain Monte Carlo, link-tracing designs, adaptive web sampling, general inverse adaptive sampling
Full-Text [PDF 538 kb]   (549 Downloads)    
Type of Study: Research | Subject: General
Received: 2015/11/28 | Accepted: 2015/11/28 | Published: 2015/11/28
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Afshar A, Navvabpour H. A Comparative Study of Performance of Adaptive Web Sampling and General Inverse Adaptive Sampling in Estimating Olive Production in Iran . JSRI. 2014; 11 (1) :1-23
URL: http://jsri.srtc.ac.ir/article-1-36-en.html


Volume 11, Issue 1 (9-2014) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
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