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http://dx.doi.org/10.5351/CKSS.2008.15.1.105

Application of Judgement Post-Stratification to Extended Producer Responsibility System  

Choi, Wan-Suk (Department of Applied Statistics, Yonsei University)
Lim, Jo-Han (Department of Applied Statistics, Yonsei University)
Lim, Jong-Ho (Department of Applied Statistics, Yonsei University)
Kim, Hyun-Joong (Department of Applied Statistics, Yonsei University)
Publication Information
Communications for Statistical Applications and Methods / v.15, no.1, 2008 , pp. 105-115 More about this Journal
Abstract
Judgement post-stratification is a new sampling method developed by MacEachern et al. (2004). This article suggests that the judgement post-stratification method can be a good alternative for the simple random sampling when analyzing real-world environmental data. It becomes an important task to accurately measure the output of a recycling facility since the EPR (Extended Producer Responsibility) system takes effect on 2003. However, the total weight of materials processed in the recycling facility may not be a proper measure because the materials are frequently mingled with other non-recycling materials. Therefore, it is necessary to estimate the mixture ratio of non-recycling materials among the total materials admitted in the facility. Unfortunately, the size of sample in a recycling facility is restricted due to the inconvenience of sampling procedure such as safety, odor, time and classification of non-recycling materials. In this article, we showed the relative efficiency of the judgement post-stratification method over the simple random sampling method for equal sample sizes using Monte Carlo simulation. Furthermore, we applied the judgement post-stratification method on the 2004 recycling data and showed that it can replace the simple random sampling even with smaller observations.
Keywords
Extended producer responsibility; mixture ratio; judgement post-stratification; simple random sampling;
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  • Reference
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