• Title, Summary, Keyword: 무관질문모형

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개선된 양적속성의 무관질문모형

  • 이기성
    • Communications for Statistical Applications and Methods
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    • v.5 no.2
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    • pp.403-410
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    • 1998
  • Mangat(1994)는 Mangat-Singh(1990)이 제안한 2단계 관련질문모형의 사용 절차를 좀 더 단순화시킨 개선된 관련질문모형을 제안하여 민감한 질적 속성을 추정하였다. 본 논문에서는 Mangat의 개선된 관련질문모형을 양적속성의 무관질문모형으로 확장하고자 한다. 또한, 제안한 모형이 Greenberg et al.의 양적속성의 무관질문모형이나 최경호(1996)가 제안한 2단계 양적속성의 무관질문모형보다 효율적이 되는 조건을 제시하였다.

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A Stratified and Two Sample Stratified Conditional Unrelated Question Model (층화 및 층화 이표본 조건부 무관질문모형)

  • Lee, Gi-Sung
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2883-2893
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    • 2018
  • We suggest a stratified conditional unrelated question randomized response model to more efficiently estimate a sensitive character A when the population is composed of several strata. In that model, only the respondents who answered "yes" through randomization device which was consisted of a less sensitive character B and a question forcing to answer "yes" respond to our suggested model and we deal with two allocation problems of proportional allocation and optimal one. We expand the suggested model into two sample stratified conditional unrelated question model to cover the case of unknowing unrelated character and deduce minimal variance through optimal sample size of stratum h. Finally, we show that the suggested model is more efficiency than stratified unrelated models and the stratified Carr et al.'s model (1982) under some given conditions, and show numerically that the smaller the values ${\pi}_{h2}$ and ${\pi}_{hy}$, the more efficiency the fit of the model.

Improved Unrelated Question Model (개선된 무관질문모형)

  • 이기성;홍기학
    • The Korean Journal of Applied Statistics
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    • v.11 no.2
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    • pp.415-421
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    • 1998
  • In this paper, we proposed improved unrelated question model which has the benefit of simplicity the Kim et al.'s two-stage unrelated question model(1992). conditions are obtained under which the proposed model is more efficient than the Greenberg et al. model(1971) and Kim et al's two-stage unrelated question model.

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The Three-Stage Stratified Unrelated Question Model (층화 3단계 무관질문모형)

  • Lee, Gi-Sung;Hong, Ki-Hak;Son, Chang-Kyoon
    • Communications for Statistical Applications and Methods
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    • v.18 no.4
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    • pp.423-431
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    • 2011
  • For procuring more sensitive information and estimating stratum target population proportion as well as an overall one form a sensitive population composed of several strata we suggest a two-stage stratified unrelated question model that uses stratified random sampling instead of simple random sampling in the two-stage unrelated question model by Kim et al. (1992) and extend it to the three-stage stratified unrelated question model. We also deal with the proportional and optimal allocation problems in each suggested model, compare the relative efficiency of the suggested two models, and show that the three-stage stratified unrelated question model is more efficient than the two-stage one in view of the variance.

A Study on the Stratified Cluster Replicated Systematic Unrelated Question Model (층화 집락 반복계통 무관질문모형에 관한 연구)

  • Lee, Gi-Sung
    • The Korean Journal of Applied Statistics
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    • v.26 no.2
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    • pp.209-222
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    • 2013
  • We apply stratified cluster sampling to a replicated systematic unrelated question model for a large scale survey in which the population is comprised of several strata developed by several clusters and with sensitive parameters. We first present a replicated systematic unrelated question model using an unrelated question model to procure sensitive information from the population of clusters and then develop a suggested model to an unrelated question by a stratified cluster replicated systematic sampling that can be used in large population of strata. We cover the proportional and optimum allocation for the suggested model. Finally, we compare and analyze the efficiency of the suggested model with the replicated systematic unrelated question model.

New Unrelated Question Randomized Response Model (새로운 무관확률화응답모형)

  • 이기성;홍기학
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.143-152
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    • 1999
  • 본 논문에서는 응답자가 민감한 속성을 가지고 있지 않으면 직접 "예"라고 응답하고, 민감한 속성을 가지고 있으면 Greenberg et al.(1969)의 무관질문모형의 확률장치를 이용하여 선택된 질문에 응답을 하는 새로운 무관확률화응답모형을 제안하였다. 그리고, 제안한 모형이 Mangat(1994)의 관련질문모형보다 효율적인 되는 조건을 제시하였고, 수치적으로 효율성을 비교하였다. 또한, Leysieffer와 Warner(1976)의 위험함수와 Flinger et al.(1977)의 사생활 보호 측도를 이용하여 제안한 모형이 Mangat의 관련질문모형에 비하여 개인의 사생활을 보호해 주는 측면에서 더 효율적임을 보였다.효율적임을 보였다.

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Unrelated question model with quantitative attribute by simple cluster sampling (단순집락추출법에 의한 양적속성의 무관질문모형)

  • 이기성;홍기학
    • The Korean Journal of Applied Statistics
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    • v.11 no.1
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    • pp.141-150
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    • 1998
  • In this paper, we developed one-stage cluster randomized response model for obtaining quantitative data by using the Greenberg et al. model(1971) when the population was made up of sensitive quantitative clusters. We obtained the minimum variance by calculating the cluster's size and the optimum number of sample clusters under the some given constant cost. We compared the efficiency of our model with the Greenberg et al. model by simple random sampling.

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A Study on the Multiple Trial of Unrelated Question Models

  • Lee, Gi-Sung;Hong, Ki-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.1
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    • pp.25-34
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    • 2002
  • In this paper, we proposed multiple trial unrelated question models that more efficient by reducing the variance of the estimate than single trial unrelated question models investigated by Greenberg et al.'s (1969) and Kim et al.'s (1992) an d Lee & Hong's (1998).

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Unrelated question model with quantitative attribute by stratified double sampling (층화이중추출법에 의한 양적속성의 무관질문모형)

  • 이기성;홍기학
    • The Korean Journal of Applied Statistics
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    • v.8 no.1
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    • pp.27-38
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    • 1995
  • In the surveys of sensitive issues of the population that is composed of several unknown-size stratum, we propose the unrelated question model with quantitative attribute by using stratified double sampling. And, we consider two types of sample allocations under the fixed cost, which are the proportional allocation, the optimum allocation. In efficiency, the proosed model is inferior to the unrelated question model with quantitative attribute by stratified sampling in case of the size of each stratum is known. But we find that efficiency of the proposed model is increased, when the selecting probability of sensitive question p is small and first stage sample size n' is large.

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