Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2017
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| _version_ | 1876454804375470080 |
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| author | Lee Gi-Sung |
| author_facet | Lee Gi-Sung |
| contents | Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device Lee Gi-Sung Hong Ki-Hak Kim Jong-Min Son Chang-Kyoon Física, Astronomía y Matemáticas Adjusted Kuk Model Sensitive Attribute Stratified Sampling Randomized Response Model Stratified Double Sampling This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken by applying stratified sampling to the adjusted Kuk model. The paper estimates sensitive parameters when the size of the stratum is known by taking proportional and optimal allocation methods into account and then extends to the case of an unknown stratum size, estimating sen- sitive parameters by applying stratified double sampling and checking the two allocation methods. Finally, the paper compares the efficiency of the proposed model to that of the Su, Sedory and Singh model and the adjusted Kuk model in terms of the estimator variance. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526003 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40 |
| format | Artículo científico |
| id | redalyc_89949526003 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device Lee Gi-Sung Física, Astronomía y Matemáticas Adjusted Kuk Model Sensitive Attribute Stratified Sampling Randomized Response Model Stratified Double Sampling Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device Lee Gi-Sung Hong Ki-Hak Kim Jong-Min Son Chang-Kyoon Física, Astronomía y Matemáticas Adjusted Kuk Model Sensitive Attribute Stratified Sampling Randomized Response Model Stratified Double Sampling This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken by applying stratified sampling to the adjusted Kuk model. The paper estimates sensitive parameters when the size of the stratum is known by taking proportional and optimal allocation methods into account and then extends to the case of an unknown stratum size, estimating sen- sitive parameters by applying stratified double sampling and checking the two allocation methods. Finally, the paper compares the efficiency of the proposed model to that of the Su, Sedory and Singh model and the adjusted Kuk model in terms of the estimator variance. 2017 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89949526003 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.40 |
| title | Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device |
| topic | Física, Astronomía y Matemáticas Adjusted Kuk Model Sensitive Attribute Stratified Sampling Randomized Response Model Stratified Double Sampling |
| url | https://www.redalyc.org/articulo.oa?id=89949526003 |