TY - JOUR T1 - “Equivalent Linear Composition” as an Efficient Stratification Factor in Multipurpose Surveys TT - ترکیب خطی هم‌ارز: یک عامل طبقه‌بندی کارا در آمارگیری‌های چندمنظوره JF - srtc-jsri JO - srtc-jsri VL - 4 IS - 2 UR - http://jsri.srtc.ac.ir/article-1-177-en.html Y1 - 2008 SP - 217 EP - 226 KW - Stratified sampling KW - clustering KW - multiple-frame designs KW - principal components KW - equivalent linear composition. N2 - 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. M3 10.18869/acadpub.jsri.4.2.217 ER -