Open AccessThe Determination of Sample Size for Sensitive Issue Successive Survey with the Multiplication RRT Model under Two-Stage and Stratified Two-Stage Random Sampling and Its Application in Medical Survey
Author(s) -
Bo Yu,
Xiaonan Liang,
Ying Wang,
Yun Liu,
Qiao Chang,
Linlin Wang,
Tingting Zhao
Publication year - 2019
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2019/1979616
Subject(s) - stratified sampling , lot quality assurance sampling , sampling (signal processing) , sample size determination , sample (material) , statistics , sampling design , mathematics , stage (stratigraphy) , multistage sampling , survey sampling , cauchy distribution , systematic sampling , computer science , medicine , paleontology , population , chemistry , environmental health , filter (signal processing) , chromatography , computer vision , biology
When designing the sample scheme, it is important to determine the sample size. The survey accuracy and cost of survey and sampling method should be considered comprehensively. In this article, we discuss the method of determining the sample size of complex successive sampling with rotation sample for sensitive issue and deduce the formulas for the optimal sample size under two-stage sampling and stratified two-stage sampling by using Cauchy-Schwartz inequality, respectively, so as to minimize the cost for given sampling errors and to minimize the sampling errors for given cost.