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Application of Judgement Post-Stratification to Extended Producer Responsibility System
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 Title & Authors
Application of Judgement Post-Stratification to Extended Producer Responsibility System
Choi, Wan-Suk; Lim, Jo-Han; Lim, Jong-Ho; Kim, Hyun-Joong;
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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.
Extended producer responsibility;mixture ratio;judgement post-stratification;simple random sampling;
 Cited by
Chen, Z., Bai, Z. and Sinha, B. K. (2003). Ranked Set Sampling: Theory and Applications. Springer-Verlag, New York

MacEachern, S. N., Stasny E. A. and Wolfe, D. A. (2004). Judgement post-stratification with multiple rankers. Biometrics, 60, 207-215 crossref(new window)

Ozturk, O. (2006). Statistical inference under a stochastic ordering constraint in ranked set sampling. Technical report, Department of Statistics, The Ohio State University

Stokes, S. L., Wang, X. and Chen, M. (2006). Judgment post-stratification with multiple rankers. To appear in Journal of Statistical Theory and Applications. Available from

Wang, X., Lim, J. and Stokes, S. L. (2006a). A nonparametric mean estimator for judgment post-stratified data. To appear in Biometrics, Available from

Wang, X., Stokes, S. L., Lim, J. and Chen, M. (2006b). Concomitant of mul- tivariate order statistics with application to judgment post-stratification. Journal of the American Statistical Association, 101, 1693-1704 crossref(new window)