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http://dx.doi.org/10.5351/KJAS.2016.29.7.1185

An outlier weight adjustment using generalized ratio-cum-product method for two phase sampling  

Oh, Jung-Taek (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.7, 2016 , pp. 1185-1199 More about this Journal
Abstract
Two phase sampling (double sampling) is often used when there is inadequate population information for proper stratification. Many recent papers have been devoted to the estimation method to improve the precision of the estimator using first phase information. In this study we suggested outlier weight adjustment methods to improve estimation precision based on the weight of the generalized ratio-cum-product estimator. Small simulation studies are conducted to compare the suggested methods and the usual method. Real data analysis is also performed.
Keywords
outlier detection; ratio estimator; product estimator; MSE;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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