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http://dx.doi.org/10.5351/KJAS.2018.31.5.621

A study on the determination of substrata using the information of exponential response rate by simulation studies  

Min, Joo-Won (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.31, no.5, 2018 , pp. 621-636 More about this Journal
Abstract
Research on the application of informative sampling technique has been conducted in order to reduce the influence of non-response. Chung and Shin (Korean Journal of Applied Statistics, 30, 993-1004, 2017) showed that the estimation accuracy improved when using exponential response rate information for the parameter estimation if the distribution of errors included in the super population model follows normal distribution. However this method divides the stratum into equally spaced substrata to obtain the sample weight of the informative sampling technique and shows that the accuracy of the estimation improves as the number of substrata increases. In this study, with the given number of total sample size, the optimal substratum boundary points are calculated using equal space, quantile, and LH algorithm; consequently, the results using those methods are compared through simulation. We also studied the criteria to determine the number of substrata and substratum boundaries that can be used in practice with various types of auxiliary variable distributions.
Keywords
LH algorithm; stratified sampling; sample inclusion probability; super-population model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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