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Citation Indices from GS

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:: Volume 18, Issue 2 (3-2008) ::
مجله‌ی بررسی‌ها 2008, 18(2): 57-70 Back to browse issues page
A Comparison Between Dalenius-Hodges Stratification and Fuzzy Clustering in Skewed Data
Arman Bidar Bakhtnia * , Vahed Maroufy
Abstract:   (4169 Views)

Stratified sampling design is used in many different sampling surveys. The method which has being used since many years for stratifying frame members is Dalenius-Hodges stratification method which strongly depends on the distribution of data. This paper contains a study of the former method and Fuzzy clustering method as a method that does not impose any constraint on the distribution of data. Moreover, a comparison between these two methods is considered.

As a result, the conclusions of the study shows that in skewed data Fuzzy clustering method is more efficient than the Dalenius-Hodges Stratification method for skewed data and it can be used in surveys at Statistical Center of Iran (SCI).

Keywords: Stratified sampling design - Dalenius-Hodges Stratification method- Fuzzy clustering method
Full-Text [PDF 185 kb]   (1062 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/03/1 | Accepted: 2016/03/1 | Published: 2016/03/1
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Bidar Bakhtnia A, Maroufy V. A Comparison Between Dalenius-Hodges Stratification and Fuzzy Clustering in Skewed Data. مجله‌ی بررسی‌ها 2008; 18 (2) :57-70
URL: http://ijoss.srtc.ac.ir/article-1-121-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 18, Issue 2 (3-2008) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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