On application of a certain classification procedure to mean value estimation under double sampling for nonresponse

被引：0

作者：

Gamrot, W ^{[1
]}

机构：

[1] Katowice Univ Econ, PL-40226 Katowice, Poland

来源：

INNOVATIONS IN CLASSIFICATION, DATA SCIENCE, AND INFORMATION SYSTEMS | 2005年

关键词：

D O I：

10.1007/3-540-26981-9_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the techniques commonly used to reduce nonresponse bias is the two-phase sampling scheme. According to this scheme, when deterministic nonresponse appears, estimates of respondent and nonrespondent stratum means are weighted by sample respondent and nonrespondent fractions which estimate unknown shares of both strata in the whole population. In this paper, an alternative method of estimating these shares by using auxiliary information is considered and the application of the Ho-Kashyap (1965) classification procedure to mean value estimation is discussed. Some simulation results are presented.

引用

页码：30 / 37

页数：8

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