• Title/Summary/Keyword: RHC추출방법

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On the Relative Efficiency of Alternative Estimators in RHC Sampling Scheme

  • 홍기학;이기성;손창균
    • Proceedings of the Korean Statistical Society Conference
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    • 2004.11a
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    • pp.61-64
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    • 2004
  • 대규모 표본조사와 관련해서 관심변수와 보조변수간의 약한 상관관계를 고려한 Amahia et at.(1989)의 대체추정방법을 RHC(Rao, Hartley and Cochran)추출방법에 적용해서 Rao추정량과 효율성을 비교하였다.

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A study on unequal probability sampling over two successive occasions in time series (시계열 계속 표본조사에서 불균등확률 추출법 연구)

  • 박홍래;이계오
    • The Korean Journal of Applied Statistics
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    • v.6 no.1
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    • pp.145-162
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    • 1993
  • We review sampling schemes on successive occasions with partial replacement of units and propose a Rao-Hartley-Cochran(RHC) type's sampling scheme over two successive occasions with probability proportionate to observations on the previous occasion. For comparison of the reviewed and proposed sampling schemes, optimal estimator of population mean on second occasion and its variance are derived. The relative efficiency of the proposed sampling scheme is compared with other equal and unequal probability sampling scheme by theoretical and numerical simulation study. For simulation study, three artificial populations are generated by a time series model. It is observed that RHC type's sampling scheme has small variance and deviation in general.

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Preliminary Study for Health Monitoring Using Tongue Image Analysis (혀 영상 분석을 이용한 건강 모니터링의 선행 연구)

  • Kim, Tae-Woo;Park, Byoung-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1219-1223
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    • 2006
  • Tongue is one of the most important parts in patient diagnosis in traditional Korean(Chinese) medicine. This paper presents health monitoring method using tongue images of a person. The method uses not absolute tongue features but relative ones which are differences from reference health condition(RHC), diagnosed in hospital, for a person. A user can give tongue images to a health monitoring system everyday, which extracts regions of interest (ROI's) of the tongue, and compares their features with reference health condition. In the experiments, tongue image analysis for a person by our computerized method encouraged us that the method using tongue images can be contributed for health monitoring.

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