• Title/Summary/Keyword: 응답 보정

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무응답 보정에서 변수 선택을 이용한 보조정보의 결정에 관한 연구

  • 손창균;홍기학;이기성
    • Proceedings of the Korean Statistical Society Conference
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    • 2001.11a
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    • pp.63-68
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    • 2001
  • 조사과정에서 필연적으로 발생하는 무응답을 보정하기 위해 보조정보를 사용한다. 이 때, 이용 가능한 보조정보의 차원이 크면, 계산과정에서 많은 시간이 소요되며 데이터를 다루기가 매우 어렵다. 또한 추정량의 분산이 보조정보의 차원에 의존하기 때문에 과소추정의 문제가 발생한다. 이러한 문제를 해결하기 위해 무응답 보정에서 적절한 보조정보의 선택 방법을 제안하였고, 이에 대한 효율성을 모의실험을 통해 살펴보았다.

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Feasibility Analysis of the Bridge Analytical Model Calibration with the Response Correction Factor Obtained from the Pseudo-Static Load Test (의사정적재하시험 응답보정계수에 의한 교량 해석모델 보정의 타당성 분석)

  • Han, Man-Seok;Shin, Soo-Bong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.6
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    • pp.50-59
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    • 2021
  • Currently, the response correction factor is calculated by comparing the response measured by the load test on a bridge with the response analyzed in the initial analytical model. Then the load rating and the load carrying capacity are evaluated. However, the response correction factor gives a value that fluctuates depending on the measurement location and load condition. In particular, when the initial analytical model is not suitable for representing the behavior of a bridge, the range of variation is large and the analysis response by the calibrated model may give a result that is different from the measured response. In this study, a pseudo-static load test was applied to obtain static response with dynamic components removed under various load conditions of a vehicle moving at a low speed. Static response was measured on two similar PSC-I girder bridges, and the response correction factors for displacement and strain were calculated for each of the two bridges. When the initial analysis model was not properly set up, it is verified that the response of the analytical model corrected by the average response correction factor does not fall within the margin of error with the measured response.

A Study on the Efficiency of the BLS Nonresponse Adjustment According to the Correlation and Sample Size (상관관계와 표본 크기에 따른 BLS 무응답 보정의 효율성 비교)

  • Kim, Seok;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.22 no.6
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    • pp.1301-1313
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    • 2009
  • Efficiency and sensitivity of BLS adjustment method have been studied and the method is known to provide more accurate estimate of total by using properly adjusted weights of samples. However, BLS methods provide different efficiencies according to the magnitudes of correlation coefficients and the sizes of samples in strata. In this paper we study the efficiency of the BLS adjustment according to the sample sizes and correlations in strata. For this study, 2007 monthly labor survey data is used.

A study to improve the accuracy of the naive propensity score adjusted estimator using double post-stratification method (나이브 성향점수보정 추정량의 정확성 향상을 위한 이중 사후층화 방법 연구)

  • Leesu Yeo;Key-Il Shin
    • The Korean Journal of Applied Statistics
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    • v.36 no.6
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    • pp.547-559
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    • 2023
  • Proper handling of nonresponse in sample survey improves the accuracy of the parameter estimation. Various studies have been conducted to properly handle MAR (missing at random) nonresponse or MCAR (missing completely at random) nonresponse. When nonresponse occurs, the PSA (propensity score adjusted) estimator is commonly used as a mean estimator. The PSA estimator is known to be unbiased when known sample weights and properly estimated response probabilities are used. However, for MNAR (missing not at random) nonresponse, which is affected by the value of the study variable, since it is very difficult to obtain accurate response probabilities, bias may occur in the PSA estimator. Chung and Shin (2017, 2022) proposed a post-stratification method to improve the accuracy of mean estimation when MNAR nonresponse occurs under a non-informative sample design. In this study, we propose a double post-stratification method to improve the accuracy of the naive PSA estimator for MNAR nonresponse under an informative sample design. In addition, we perform simulation studies to confirm the superiority of the proposed method.

A Comparison of BLS Non-Response Adjustment and Cross-Wave Regression Imputation Methods (BLS 무응답 보정법을 이용한 대체법과 이월대체법에 관한 연구)

  • Lee, Sang-Eun;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.23 no.5
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    • pp.909-921
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    • 2010
  • Cross-wave regression imputation and carry-over imputation method are generally used in the analysis of panel data with missing values. Recently it is known that the BLS non-response adjust method has good statistical properties. In this paper we show that the BLS method can be considered as an imputation method with a similar formula of a ratio-estimator. In addition, we show that the carry-over imputation and BLS imputation are approximately the same under the assumption that data follow a non-stationary process with drift. Small simulation studies and real data analysis are performed. For the real data analysis, a monthly labor statistic (2007) is used.

Ocean Scanning Muti-spectral Imager (OSMI) Early Operation Radiometric Response Analysis (Ocean Scanning Muti-spectral Imager (OSMI) 발사후 초기 복사 응답 특성 분석)

  • 조영민
    • Proceedings of the Optical Society of Korea Conference
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    • 2000.08a
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    • pp.54-55
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    • 2000
  • 해양관측카메라 Ocean Scanning Multi-spectral Imager (OSMI)를 탑재한 다목적 실용위성(KOMPSAT) 1호기가 1999년 12월 21일 발사되었다. OSMI는 유연한 임무 수행을 위해 궤도운영중에 관측파장대역 선택과 응답 이득 조정이 가능하도록 설계되었다. 또한 OSMI는 기기 노화 등에 따른 성능 변화 감지 및 보정을 위해 태양광 보정을 궤도운영중 수행한다. 여러 이득 단계에 대해 발사후 복사 응답 특성을 기기 보정 측면에서 연구하였다. 발사전 실험실 성능 측정 결과에 근거하여 발사후 초기 운영 단계에서 측정한 태양광 보정 자료의 선형 curve fitting을 통해 발사후 복사 응답 특성을 분석하였다. 이 분석은 OSMI 기기 보정 및 영상 품질 이해에 유용할 것이다.

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이중 추출 방법을 이용한 단위 무응답의 가중치 조정방법에 관한 연구

  • Yeom, Jun-Geun;Son, Chang-Gyun;Jeong, Yeong-Mi
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.05a
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    • pp.13-18
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    • 2002
  • 이중추출(two-phase)접근방법 이용의 주목적은 관심변수와 보조변수사이의 관계를 이용해서 더 좋은 추정을 하고자 하는 것이다. 특히 이 방법은 층화, 무응답 문제에 적용하는 경우 상당히 효과적이다. 본 논문에서는 무시할 수 있는 무응답이 발생했을 때 이중추출기법을 이용해서 g-가중치와 응답확률을 각 단계별로 조정해줌으로써 무응답 보정추정량과 분산추정량을 구했다.

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A Post Stratification and Calibration under the Unit Nonresponse (단위 무응답 하에서 사후층화와 보정에 관하여)

  • 손창균;홍기학;이기성
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2001.06a
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    • pp.57-70
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    • 2001
  • In this paper we consider a various estimation methods including the post-stratification estimation, regression estimation and calibration estimation or a generalized raking estimation under a unit nonresponse. All of them have a common type of calibration estimation based on the post-stratification for a categorical auxiliary variables.

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A Study on Auxiliary Variable Selection in Unit Nonresponse Calibration (단위 무응답 보정에서 보조변수의 선택에 관한 연구)

  • 손창균;홍기학;이기성
    • The Korean Journal of Applied Statistics
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    • v.16 no.1
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    • pp.33-44
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    • 2003
  • Typically, it should be use auxiliary variable for calibrating the survey nonreponse in census or sampling survey. Where, if the dimension of auxiliary information is large, then it nay be spend a lot of computing time, and difficult to handle data set. Also because the variance estimator depends on the dimension of auxiliary variables, the variance estimator becomes underestimator. To deal with this problem, we propose the variable selection methods for calibration estimation procedure in unit nonreponse situation and we compare the efficiency by simulation study.

Response Calibration for Bridges based on Statistical Quality Control Chart (통계적 품질 관리도에 기초한 교량의 응답 보정)

  • Hwang, Jin Ha;An, Seoung Su;Kim, Ju Han
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.1
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    • pp.61-70
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    • 2013
  • This paper presents the response calibration method based on quality control range, which is established from the concept and method of statistical quality control for natural frequency ratio and response ratio. To this end, statistical analysis including descriptive statistics analysis, normality test, ANOVA were performed for response characteristics obtained from loading tests and structural analysis for more than hundred and thirty well-conditioned bridges. Suggested method is based on real structural integrity evaluation case studies and statistical quality control approach, in this respect it is expected to provide scientific criteria and systematic procedure for response calibration and load carrying capacity assessment.