• 제목/요약/키워드: Randomized response

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A Suggestion for Randomized Response Technique using Fuzzy Logic

  • Choi, Kyung-Ho
    • Communications for Statistical Applications and Methods
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    • 제8권2호
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    • pp.465-471
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    • 2001
  • Randomized response technique is a survey technique for eliminating evasive answer bias. But this technique has a problem. This procedure suffers from linguistic expression in randomizing device. Thus for solving the problem, in this paper, we suggested the randomized response technique using fuzzy logic.

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반복시행된 확률화 응답(RRD) 모형의 독립조건 (Independence Condition in the Repeated Randomized Response Models)

  • 이관제;국세정
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2000년도 추계학술발표회 논문집
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    • pp.33-38
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    • 2000
  • Krishnamoorphy and Raghavarao(1993) invented exact binomial and asymptotically normal test procedures for truthful answering in the repeated randomized response models under the assumption that two repeated response measures are independent. Under the same assumption, Lakshmi and Raghavarao(1992) suggested asymptotic chi-square test for respondents' truthful answering in the same models. In this article we detect the factors and the conditions with which two response variables might be independent, and find the condition for independence in the repeated randomized response models with considering untruthful answer. But, the condition of independence make the randomized model no meaning. Under the assumption of conditional independence between two response variables, we can apply the same logical statements on deriving the tests for truthful answering in the repeated randomized response models as in Krishnamoorphy and Raghavarao(1993).

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A Closed-Form Bayesian Inferences for Multinomial Randomized Response Model

  • Heo, Tae-Young;Kim, Jong-Min
    • Communications for Statistical Applications and Methods
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    • 제14권1호
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    • pp.121-131
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    • 2007
  • In this paper, we examine the problem of estimating the sensitive characteristics and behaviors in a multinomial randomized response model using Bayesian approach. We derived a posterior distribution for parameter of interest for multinomial randomized response model. Based on the posterior distribution, we also calculated a credible intervals and mean squared error (MSE). We finally compare the maximum likelihood estimator and the Bayes estimator in terms of MSE.

A Stratified Unknown Repeated Trials in Randomized Response Sampling

  • Singh, Housila P.;Tarray, Tanveer Ahmad
    • Communications for Statistical Applications and Methods
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    • 제19권6호
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    • pp.751-759
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    • 2012
  • This paper proposes an alternative stratified randomized response model based on the model of Singh and Joarder (1997). It is shown numerically that the proposed stratified randomized response model is more efficient than Hong et al. (1994) (under proportional allocation) and Kim and Warde (2004) (under optimum allocation).

Combined Procedure of Direct Question and Randomized Response Technique

  • Choi, Kyoung-Ho
    • Journal of the Korean Data and Information Science Society
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    • 제14권2호
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    • pp.275-278
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    • 2003
  • In this paper, a simple and obvious procedure is presented that allows to estimate $\pi$, the population proportion of a sensitive group. Suggested procedure is combined procedure of direct question and randomized response technique. It is found that the proposed procedure is more efficient than Warner's(1965).

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Assessment for Efficiency of Two-Stage Randomized Response Technique

  • Park, Kyung-Ho
    • Communications for Statistical Applications and Methods
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    • 제7권2호
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    • pp.427-433
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    • 2000
  • In this paper, we review several two-stage randomized response techniques for gathering self-report data when persons are asked sensitive question. Also efficiencies and privacy protections based on the two-stage randomized response procedures are compared. Finally, we find optimal parameter conditions.

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3단계 층화확률화응답모형 (Three-Stage Strati ed Randomize Response Model)

  • 김종민;채성산
    • 응용통계연구
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    • 제23권3호
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    • pp.533-543
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    • 2010
  • 직접면접으로 민감한 질문을 할때 발생하는 무응답이나 거짓응답의 문제를 개선하고자 Warner (1965)가 최초로 제안한 확률화응답모형에 관한 연구는 이후 많은 연구자들에 의해 개선, 발전되어 오고 있다. 본 연구에서 표본은 층화임의복원추출법에 의해 추출되었으며, 표본배분은 최적배분법에 의해 배분되었다. 한편, Kim과 Elam (2005)의 2단계 층화확률화응답모형을 확장한 3단계 층화확률화응답모형을 사용하였다. Kim과 Elam (2005)의 2단계 층화확률화응답모형과 상대효율을 비교한 결과 본 논문에서 제시한 3단계 층화확률화모형의 효율성이 상대적으로 높다는 결과가 도출되었다. 그러나 2단계확률화응답모형을 3단계로 확장함으로써 상대적으로 효율성은 증대되지만 반대로 조사과정의 어려움이 예상된다.

An Implementation of Web-based Unified Randomized Response System for Obtaining Sensitive Information and Application Method

  • Lee, Gi-Sung;Nam, Ki-Seong;Son, Chang-Kyoon
    • Journal of the Korean Data and Information Science Society
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    • 제17권4호
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    • pp.1237-1250
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    • 2006
  • In this paper we develop the web-based unified randomized response system for obtaining more reliable response to the sensitive characteristic such as a crime of violence at home, and a bribing and so on. This survey system embody to apply with from the classical to recently research, for example from the Warner's model to the 2-stage model. In addition, our survey system is able to link between the typical and the randomized response system. Finally, our survey system looks into a variation according to various sensitive questions as well as it can be used for a single question.

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AN ADROIT UNRELATED QUESTION RANDOMIZED RESPONSE MODEL WITH SUNDRY STRATEGIES

  • TANVEER AHMAD TARRAY;ZAHOOR AHMAD GANIE
    • Journal of applied mathematics & informatics
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    • 제41권6호
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    • pp.1377-1391
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    • 2023
  • When sensitive topics such as gambling habits, drug addiction, alcoholism, tax evasion tendencies, induced abortions, drunk driving, past criminal involvement, and homosexuality are the focus of open or direct surveys, it becomes challenging to obtain accurate information due to nonresponse bias and response bias. People often hesitate to provide truthful answers. Warner introduced an ingenious method to address this issue. In this study, a new and unrelated randomized response model is proposed to eliminate misleading responses and nonresponses caused by the stigma associated with the attribute being investigated. The proposed randomized response model allows for the estimation of the population percentage with the sensitive characteristic in an unbiased manner. The characteristics and recommendations of the proposed randomized response model are examined, and numerical examples are provided to support the findings of this study.

Partial optional randomized response technique with calibration weighting to adjust non-response in successive sampling

  • Priyanka, Kumari;Trisandhya, Pidugu;Kumar, Ajay
    • Communications for Statistical Applications and Methods
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    • 제28권5호
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    • pp.493-510
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    • 2021
  • The present article endeavours to develop partial optional randomized - response technique (PORT) to deal with sensitive issues in presence of non-response in successive sampling. Calibration techniques have been embedded with PORT to estimate sensitive population mean at current move in two move successive sampling in presence of non-response. Optimum calibration weights are computed at each move with the aid of constraints based on auxiliary information. Detailed properties of the proposed estimators have been discussed. Possible cases in which non-response may creep at two moves has been explored. The proposed technique has been compared with the modified existing technique. Simulation results indicate that the proposed technique is more efficient than existing, modified one. Suitable recommendations are forwarded.