• Title/Summary/Keyword: Warner기법

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Study to the randomized response model (확률응답모형에 관한 연구)

  • 이영진
    • The Korean Journal of Applied Statistics
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    • v.4 no.2
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    • pp.179-193
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    • 1991
  • In this paper, we introduce various methods of PR techniques initiated by S. Warner in 1960's and examine the maximum likelihood estimator for them. One of the main subjects of this paper is to represent Warner model, Unrelated Question Model, and Multi-Proportion Model in linear model. The other subject is to study the inference of PR model by using the Bayesian Approach.

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An alternative randomized response technique (대체 확률화응답기법)

  • 류제복
    • The Korean Journal of Applied Statistics
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    • v.6 no.2
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    • pp.311-318
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    • 1993
  • In this paper, we consider the test based on using Forced question model instead of Warner model and compare the power of two randomized respose models. The estimator for the prportion of the individuals belonging to the sensitive group is obtained by using Forced question model and the conditions that the estimator by Forced question model will be more efficient than the estimators by Warner model are found when the respondents are truthrul in their answers.

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A Study on the Randomized Response Technique by PPS Sampling (확률비례추출법에 의한 확률화응답기법에 관한 연구)

  • Lee Gi-Sung
    • The Korean Journal of Applied Statistics
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    • v.19 no.1
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    • pp.69-80
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    • 2006
  • In this study, we make an effort to find a method to acquire sensitive information when sensitive populations are consisted of several clusters that vary in size. We suggest and systemize the theoretical validity for applying RRT(Randomized Response Technique) to PPS(Probability Proportional to Size) sampling method and derive the estimate and it's variance of the proportion of sensitive characteristic of population by using the suggested method. We compare the efficiency of the suggested technique by two-stage equal probability sampling. We examine practical aspects of the suggested method of RRT by PPS sampling through field survey.

A practical plan of randomized response technique (확률화 응답기법의 실용화 방안)

  • 류제복;이계오;이기성
    • The Korean Journal of Applied Statistics
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    • v.8 no.1
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    • pp.9-26
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    • 1995
  • In surveys on sensitive issues which respondents are unwilling to answer, response bias usually occur since respondents tend to answer untruthfully or evade answer. Warner(19650 introduced the Randomized Response Technique (RRT) which protected the privacy of the individual respondent to reduce these response biases. Though this technique are theoretically good it has some problems in applying this technique to field survey. Therefore in order to apply easily RRT to practical survey we present the practical plan through comparing and analyzing the several cases which RRT was applied. Also we take the field survey according to this plan.

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A Stratified Randomized Response Technique (층화 확률화 응답 기법)

  • Ki Hak Hong;Jun Keun Yum;Hwa Young Lee
    • The Korean Journal of Applied Statistics
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    • v.7 no.1
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    • pp.141-147
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    • 1994
  • In the present paper an attempt has been made to develop a stratified ramdomized response technique when the respondents are selected using simple random sampling without replacement (SRSWOR) as well as simple random sampling with replacement (SRSWR). The conditions under which the proposed technique will be more efficient than the corresponding Warner's technique have been obtained.

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Two stage Chang's randomized response technique (2단계 창의 확률화응답기법)

  • Choi, Kyoung-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.2
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    • pp.271-277
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    • 2010
  • The randomized response technique is an indirect question that employs a randomizing device to protect respondents' privacy. The technique is now considered the most efficient of the newly developed techniques. In this technique, Chang et al. (2004) suggests an improved forced-answer technique and finds more efficient conditions than Warner did in 1965. But it is the weakness of the technique to lose more information than a direct response technique does. Therefore, a lot of researches have developed new techniques to reduce loss of information, to enhance estimated efficiency, and to efficiently use collected information. Considering this tendency, this paper also tries to improve Chang's technique. It suggests the technique that is extended from Chang's and finds more efficient conditions than Chang's technique and Mangat and Singh's (1990) did.

확률화응답에 대한 대수선형모형

  • 최경호
    • Communications for Statistical Applications and Methods
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    • v.4 no.3
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    • pp.725-734
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    • 1997
  • 많은 사회과학 조사에서 분할표 형태로 얻어진 범주형 자료에는 오분류(misclassification)로 인한 오차가 내재되는 경우가 종종 있다. 질적속성 추정을 위한 확률화응답은 이러한 오분류 문제의 한 특수한 경우로 여겨지기도 한다. 그래서 확률화응답을 통한 범주형자료는 혼합된 분할표(mixed-up contingency table)로 여길 수 있는 바, 본 논문에서는 이에 대해 대수선형모형(log-linear model)을 설정하고 Chen과 Fienberg(1976)의 Iterative scaling procedure(ISP)에 의하여 얻어진 최우추정량의 극한을 이용하였다. 이 결과 Warner(1965) 형태의 대칭기법에 대해서는 Singh(1976)에 의하여 제안된 최우추정량과 같아지게 됨을 보임으로써 Warner에 의해서 제시된 추정량이 최우추정량으로 적절하지 않음을 확인해 보고, 무관질문기법에 대해서는 Greenberg, et al.(1969)에 의해서 제안된 추정량이 추정의 관점에서 최우추정량으로 적절하지 않음을 알아 보았다.

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확률화응답기법을 이용한 모비율의 추정시 층화표본의 최적할당에 관한 연구

  • 최경호;김연형
    • Communications for Statistical Applications and Methods
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    • v.1 no.1
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    • pp.157-164
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    • 1994
  • 본 연구에서는 확률화응답기법을 이용하여 모집단내의 민감집단의 비율을 추정함에 있어 조사의 효율성을 높이기 위한 층화표본의 최적할당방법을 제안한다. 확률화응답기법은 Warner(1965)에 의하여 제안된 방법으로 민감한 사안에 대한 조사시 무응답이나 거짓응답으로 인한 비표본오차를 줄일수 있는 기법으로 간접질문에 의한 조사방법이다. 여기에서 최적할당이란 베이즈위험을 최소로 하는 할당법을 의미하며, 이 과정에서 민감집단의 모비율에 대한 사전분포로는 베타분포를 취하였다.

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Confidence Interval for Sensitive Binomial Attribute : Direct Question Method and Indirect Question Method (민감한 이항특성에 대한 신뢰구간 : 직접질문법과 간접질문법)

  • Ryu, Jea-Bok
    • The Korean Journal of Applied Statistics
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    • v.28 no.1
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    • pp.75-82
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    • 2015
  • We discuss confidence intervals for sensitive binomial attributes obtained by a direct question method and indirect question method. The Randomized Response Technique(RRT) by Warner (1965) is an indirect question method that uses a randomization device to reduce the response burden of respondents. We used the mean coverage probability (MCP), root mean squared error (RMSE), and mean expected width (MEW) to compare the confidence intervals by the two methods. The numerical comparisons indicated found that the MEW of RRT is too large and the RRT is so conservative that the MCP exceeds a nominal level(${\alpha}$); therefore, it is necessary to complement these problem in order to increase the utility of the indirect question method.

Investigation on Beef Quality Indicator of Off-Flavor Development during Storage (쇠고기 저장 중 이취발생에 대한 Indicator 탐색)

  • Byeon, Ko-Eun;An, Soo-Rim;Shim, Soo-Dong;Lee, Jung-Young;Hong, Kwang-Won;Min, Sang-Gi;Lee, Seung-Ju
    • Food Science of Animal Resources
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    • v.29 no.3
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    • pp.325-333
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    • 2009
  • Beef quality indicators of off-flavor development during storage were investigated in terms of temperature dependence. The off-flavor development time (ODT) was detected using the R-index sensory test. During varying storage conditions at $25^{\circ}C$, $15^{\circ}C$, and $5^{\circ}C$, elements of beef quality were measured, such as volatile basic nitrogen (VBN), pH, color (CIE $L^*$, $a^*$, $b^*$), Warner-Bratzler shear force (WBSF), Pseudomonas spp. CFU, and lactic acid bacteria (LAB) CFU. A model with temperature dependence of ODT during storage was developed using Arrhenius-like equation, and a requirement with quality indicators was mathematically derived, resulting in similar temperature dependence. The temperature dependence of beef quality indicators was represented by the Arrhenius activation energy (Ea). Upon comparing the Ea of beef quality indicators and ODT, the temperature dependence similarity was found to be higher in the order of three groups: VBN, pH, $a^*$ value; LAB, Pseudomonas spp.; and WBSF, $L^*$ value, $b^*$ value. Therefore, VBN were determined as the most effective indicator of beef quality during off-flavor development.