• 제목/요약/키워드: Randomization device

검색결과 8건 처리시간 0.026초

A Mixed Randomized Response Technique

  • Park, You-Sung;Lee, Jae-Choul
    • Journal of the Korean Statistical Society
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    • 제25권1호
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    • pp.39-48
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    • 1996
  • A new method that uses information obtained not only from randomization device but also from direct question is introduced. The new maximum likelihood estimator is compared with those of Warner(1965) and Mangat(l994). For a choice of randomized device, we propose a choice depending on the sample size n and show that our estimator is more efficient than that of Mangat under the randomization device. The proposed procedure is extended to more general one which can be easily applied to some specific cases. Under the specified conditions, it is shown that the variance of this generalized estimator is smaller than that of Warner.

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A New Mail Survey Method for Sensitive Character without Using Randomization Device

  • Ki Hak Hong
    • Communications for Statistical Applications and Methods
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    • 제4권3호
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    • pp.735-741
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    • 1997
  • In the present paper, we propose a new randomization device free mail survey method. The estimator based on proposed model is unbiased and more efficient than the estimator based on SIngh, Mangat and Singh model (SMS-model)(1993) when $\pi$<1/2, and more protective than SMS-model in view of the protection of privacy regardless of the values of $\pi$ and $\pi_Y$ only if we count the number of say 'Yes' from the respondents. However, If we consider the respondents that say 'No', the SMS-model is more protective than our model.

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Bayesian methods in clinical trials with applications to medical devices

  • Campbell, Gregory
    • Communications for Statistical Applications and Methods
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    • 제24권6호
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    • pp.561-581
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    • 2017
  • Bayesian statistics can play a key role in the design and analysis of clinical trials and this has been demonstrated for medical device trials. By 1995 Bayesian statistics had been well developed and the revolution in computing powers and Markov chain Monte Carlo development made calculation of posterior distributions within computational reach. The Food and Drug Administration (FDA) initiative of Bayesian statistics in medical device clinical trials, which began almost 20 years ago, is reviewed in detail along with some of the key decisions that were made along the way. Both Bayesian hierarchical modeling using data from previous studies and Bayesian adaptive designs, usually with a non-informative prior, are discussed. The leveraging of prior study data has been accomplished through Bayesian hierarchical modeling. An enormous advantage of Bayesian adaptive designs is achieved when it is accompanied by modeling of the primary endpoint to produce the predictive posterior distribution. Simulations are crucial to providing the operating characteristics of the Bayesian design, especially for a complex adaptive design. The 2010 FDA Bayesian guidance for medical device trials addressed both approaches as well as exchangeability, Type I error, and sample size. Treatment response adaptive randomization using the famous extracorporeal membrane oxygenation example is discussed. An interesting real example of a Bayesian analysis using a failed trial with an interesting subgroup as prior information is presented. The implications of the likelihood principle are considered. A recent exciting area using Bayesian hierarchical modeling has been the pediatric extrapolation using adult data in clinical trials. Historical control information from previous trials is an underused area that lends itself easily to Bayesian methods. The future including recent trends, decision theoretic trials, Bayesian benefit-risk, virtual patients, and the appalling lack of penetration of Bayesian clinical trials in the medical literature are discussed.

A High Performance Co-design of 26 nm 64 Gb MLC NAND Flash Memory using the Dedicated NAND Flash Controller

  • You, Byoung-Sung;Park, Jin-Su;Lee, Sang-Don;Baek, Gwang-Ho;Lee, Jae-Ho;Kim, Min-Su;Kim, Jong-Woo;Chung, Hyun;Jang, Eun-Seong;Kim, Tae-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제11권2호
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    • pp.121-129
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    • 2011
  • It is progressing as new advents and remarkable developments of mobile device every year. On the upper line reason, NAND FLASH large density memory demands which can be stored into portable devices have been dramatically increasing. Therefore, the cell size of the NAND Flash memory has been scaled down by merely 50% and has been doubling density each per year. [1] However, side effects have arisen the cell distribution and reliability characteristics related to coupling interference, channel disturbance, floating gate electron retention, write-erase cycling owing to shrinking around 20nm technology. Also, FLASH controller to manage shrink effect leads to speed and current issues. In this paper, It will be introduced to solve cycling, retention and fail bit problems of sub-deep micron shrink such as Virtual negative read used in moving read, randomization. The characteristics of retention, cycling and program performance have 3 K per 1 year and 12.7 MB/s respectively. And device size is 179.32 $mm^2$ (16.79 mm ${\times}$ 10.68 mm) in 3 metal 26 nm CMOS.

A NOTE ON PROTECTION OF PRIVACY IN RANDOMIZED RESPONSE DEVICES

  • SAHA AMITAVA
    • Journal of the Korean Statistical Society
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    • 제34권4호
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    • pp.297-309
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    • 2005
  • We consider 'efficiency versus privacy-protection' problem concerned with several well-known randomized response (RR) devices to estimate pro­portion of people bearing a stigmatizing characteristic in a community. The literature of RR on respondent's privacy protection discusses only about response specific jeopardy measures. We propose a measure of jeopardy that is independent of the RR offered by the interviewee and recommend it for using as a technical characteristic of the RR device. For ensuring better cooperation from the interviewees this new measure that depends only on the design parameters of the RR devices may be disclosed to the respondents before producing the RR by implementing the randomization device.

새로운 3상 랜덤 펄스 위치 PWM기법에 의한 EPLD기반의 모터 속도제어 시스템 (EPLD based Induction Motor Drives with a New Three-Phase Randomized Pulse Position PWM Scheme)

  • 김회근;위석오;임영철;정영국;나석환
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2002년도 전력전자학술대회 논문집
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    • pp.308-312
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    • 2002
  • In this paper, EPLD(Erasable Programmable Logic Device) based induction motor drives with a SRP-PWM(Separatley Randomized Pulse Position PWM) is proposed. In the proposed RPWM (Random PWM), each of three phase pulses is located randomly in each switching interval. Based on the space vector modulation technique, the duty ratio of the pulses is calculated. To verify the validity of the proposed RPWM, the experimental study was tried. Along with the randomization of PWM pulses, the space vector modulation is also executed in the TMS320C31 DSP(Digital Signal Processor). The experimental results show that the voltage and switching noise harmonics are spread to a wide band area. Also, the performance of the proposed SRP-PWM and the conventional SVM-PWM are nearly the same from the viewpoing of the v/f constant control.

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

  • 류제복
    • 응용통계연구
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    • 제28권1호
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    • pp.75-82
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    • 2015
  • 본 연구에서는 민감한 이항특성에 대한 신뢰구간 추정에 직접질문법과 간접질문법을 사용한다. 간접질문법으로 응답자들의 응답부담을 줄여주기 위해서 확률장치를 사용하는 Warner (1965)의 확률화응답기법(RRT)을 고려한다. 두 방법에 의한 신뢰구간을 비교하기 위해서 평가기준으로 평균포함확률(MCP), 평균제곱오차의 제곱근(RMSE), 그리고 평균기대폭(MEW)을 사용한다. 수치적 비교 결과 RRT의 MCP가 명목수준()을 크게 초과하여 보수적이고 MEW도 매우 크다. 따라서 이들을 보완해 주어야 실제적으로 간접질문법의 유용성을 높일 수 있다.

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

  • 이기성
    • Journal of the Korean Data Analysis Society
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    • 제20권6호
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    • pp.2883-2893
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    • 2018
  • 본 논문에서는 모집단이 층으로 구성되어 있고 얻고자 하는 속성이 민감할 때, 덜 민감한 속성 B와 강요응답으로 구성되어 있는 확률장치를 통해 "예"라고 응답한 사람들에게만 민감한 속성 A 와 무관한 속성 Y를 포함하고 있는 Greenberg et al.(1969)의 무관질문모형을 사용하도록 하여 모집단이 층화된 경우 층화추정을 위한 층화 조건부 무관질문모형을 제안하였다. 그리고 제안한 층화 조건부 무관질문모형에서 각 층에 표본을 배분할 때 비례배분과 최적배분 문제를 다루었다. 또한 층화 조건부 무관질문모형을 무관한 속성이 미지인 경우 두 개의 독립표본을 이용하는 층화 이표본 조건부 무관질문모형으로 확장하였으며, 제안한 층화 이표본 조건부 무관질문모형의 두 번째 단계에서 사용되는 h층의 표본의 크기에 대한 최적값을 도출하여 최소분산을 구하였다. 마지막으로 층화 조건부 무관질문모형이 층화 무관질문모형과 층화 Carr et al.(1982)의 모형보다 효율적이 되는 조건을 제시하여 일정한 조건하에서 제안한 모형이 기존 모형들보다 효율적임을 보였으며, 제안한 층화 조건부 무관질문모형이 ${\pi}_{h2}$ 값이 작고 ${\pi}_{hy}$ 값이 작을수록 층화 Carr et al.(1982)의 모형보다 효율적임을 수치적으로 보였다.