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:: Volume 4, Issue 2 (3-2008) ::
JSRI 2008, 4(2): 217-226 Back to browse issues page
“Equivalent Linear Composition” as an Efficient Stratification Factor in Multipurpose Surveys
Arman Bidarbakht-nia * , Vahed Maroufy
, bidar_a@yahoo.com
Abstract:   (1278 Views)

Horticulture survey is a multi-purpose survey which is conducted ad hoc by Statistical Center of Iran (SCI). Availability of survey variables in the sampling frame suggests a multivariate stratification in each province based on its desired variables for acquiring a higher efficiency. There are several ways to stratify the sampling frame considering all stratification variables, such as using sum of observation on all variables, clustering, using first principal component, and specially an almost new method which uses multiple-frame techniques. We introduce, the equivalent linear composition factor, and illustrate how it works more efficiently then the other methods in this particular survey.

 

Keywords: Stratified sampling, clustering, multiple-frame designs, principal components, equivalent linear composition.
Full-Text [PDF 1300 kb]   (247 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/02/21 | Accepted: 2016/02/21 | Published: 2016/02/21
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Bidarbakht-nia A, Maroufy V. “Equivalent Linear Composition” as an Efficient Stratification Factor in Multipurpose Surveys . JSRI. 2008; 4 (2) :217-226
URL: http://jsri.srtc.ac.ir/article-1-177-en.html


Volume 4, Issue 2 (3-2008) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
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