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:: Volume 17, Issue 1 (8-2020) ::
JSRI 2020, 17(1): 1-18 Back to browse issues page
Balanced Acceptance Sampling+m: A Balance Between Entropy and Spatially Balance
Hossein Veisipour1 , Mohammad Moradi2 , Jennifer Brown3
1- Razi University
2- Razi University , moradi_ m@razi.ac.ir
3- University of Canterbury
Abstract:   (675 Views)
Balanced acceptance sampling is a relatively new sampling scheme that has potential to improve the efficiency of spatial studies. There are two drawbacks of the design, it can have low entropy and some of the unbiased estimates can not be calculated. In this paper, such shortcomings have been addressed by integrating simple random sampling with balanced acceptance sampling. In a simulation study on two datasets, the entropy and spatially balance of the introduced sampling design are calculated and are compared with the same results from balanced acceptance sampling and simple random sampling. Simulation results show that the introduced sampling design has the flexibility to balance the entropy and spatially balance.
 
Keywords: Entropy of sampling design, Halton sequence, inclusion probability, spatially balanced sampling.
Full-Text [PDF 724 kb]   (1005 Downloads)    
Type of Study: Applicable | Subject: General
Received: 2022/01/19 | Accepted: 2022/04/18 | Published: 2020/08/22
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Veisipour H, Moradi M, Brown J. Balanced Acceptance Sampling+m: A Balance Between Entropy and Spatially Balance. JSRI 2020; 17 (1) :1-18
URL: http://jsri.srtc.ac.ir/article-1-416-en.html


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Volume 17, Issue 1 (8-2020) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
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