• 제목/요약/키워드: Logistic Analysis

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로지스틱 회귀분석 및 AHP 기법을 이용한 산사태 위험지역 분석 (Analysis of Landslide Hazard Area using Logistic Regression Analysis and AHP (Analytical Hierarchy Process) Approach)

  • 이용준;박근애;김성준
    • 대한토목학회논문집
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    • 제26권5D호
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    • pp.861-867
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    • 2006
  • 본 연구에서는 안성시($520km^2$)를 대상으로 Logistic 회귀분석 방법과 AHP 기법을 이용하여, GIS와 RS 자료를 활용한 산사태 위험지를 분석하였다. Logistic 회귀분석과 AHP 기법에는 6개의 인자(경사, 경사향, 고도, 토양배수, 토심, 토지이용)를 사용하여, 7등급으로 산사태 위험도를 분류하였다. Logistic 회귀분석 방법과 AHP 기법을 이용한 산사태 위험지도를 표본 자료와 비교하면 산사태가 발생한 표본에서 산사태 위험성이 높은(1-2등급)지역이 Logistic 회귀분석에서는 46.1% AHP 기법은 48.7%로 분류되어 AHP 기법이 분류도가 높다고 분석되었다. Logistic 회귀분석과 AHP 기법은 서로 분석 과정의 차이를 가지고 있기 때문에 Logistic 회귀분석과 AHP기법을 적용한 결과에 동일 가중치를 부여한 후 7개 등급으로 재분류(reclass)하여 산사태 위험지역을 추출할 수 있는 방법론을 본 연구에서 제시하였다. 그 결과 산사태가 발생한 표본에서 1-2 등급지역이 58.9%로 분석되어 분류정확도를 높일 수 있었다.

로지스틱회귀분석 모델을 활용한 도시철도 사상사고 사고예측모형 개발에 대한 연구 (Study on Accident Prediction Models in Urban Railway Casualty Accidents Using Logistic Regression Analysis Model)

  • 진수봉;이종우
    • 한국철도학회논문집
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    • 제20권4호
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    • pp.482-490
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    • 2017
  • 본 연구는 사고심각도 분류 및 예측을 위한 철도사고조사 통계기법에 관한 연구이다. 그동안의 선형 회귀분석은 사고 심각도 분석에 어려움이 있었으나 로지스틱회귀분석은 이를 보완할 수 있었다. 데이터마이닝 기법인 로지스틱회귀분석을 활용, 서울지하철(5~8호선) 역사 내 전도사고 중 에스컬레이터 전도사고 발생에 영향을 주는 사고예측 모형 변수는 사고자 연령, 음주여부, 사고 당시상황 및 행동, 핸드레일 잡음 여부였다. 분석의 정확도는 76.7%로 설명되었고 분석방법 결과에 따르면 정확도와 유의수준 측에서 로지스틱회귀분석 방법이 도시철도 사상사고 예측모형을 개발하는데 유용한 데이터마이닝 기법으로 판단된다.

Application of Crossover Analysis-logistic Regression in the Assessment of Gene- environmental Interactions for Colorectal Cancer

  • Wu, Ya-Zhou;Yang, Huan;Zhang, Ling;Zhang, Yan-Qi;Liu, Ling;Yi, Dong;Cao, Jia
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권5호
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    • pp.2031-2037
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    • 2012
  • Background: Analysis of gene-gene and gene-environment interactions for complex multifactorial human disease faces challenges regarding statistical methodology. One major difficulty is partly due to the limitations of parametric-statistical methods for detection of gene effects that are dependent solely or partially on interactions with other genes or environmental exposures. Based on our previous case-control study in Chongqing of China, we have found increased risk of colorectal cancer exists in individuals carrying a novel homozygous TT at locus rs1329149 and known homozygous AA at locus rs671. Methods: In this study, we proposed statistical method-crossover analysis in combination with logistic regression model, to further analyze our data and focus on assessing gene-environmental interactions for colorectal cancer. Results: The results of the crossover analysis showed that there are possible multiplicative interactions between loci rs671 and rs1329149 with alcohol consumption. Multifactorial logistic regression analysis also validated that loci rs671 and rs1329149 both exhibited a multiplicative interaction with alcohol consumption. Moreover, we also found additive interactions between any pair of two factors (among the four risk factors: gene loci rs671, rs1329149, age and alcohol consumption) through the crossover analysis, which was not evident on logistic regression. Conclusions: In conclusion, the method based on crossover analysis-logistic regression is successful in assessing additive and multiplicative gene-environment interactions, and in revealing synergistic effects of gene loci rs671 and rs1329149 with alcohol consumption in the pathogenesis and development of colorectal cancer.

Generalized Logistic 분포형을 이용한 수공구조물의 위험도에 대한 불확실성 해석 (Uncertainty Analysis of the Risk of Hydraulic Structures Using Generalized Logistic Distribution)

  • 신홍준;허준행
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.758-763
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    • 2006
  • Statistical concepts and methods are routinely utilized in a number of design and management problems in engineering hydrology. This is because most of hydrological processes have some degree of randomness and uncertainty. Thus, the concepts of risk and uncertainty are commonly utilized for designing and evaluating hydraulic structures such as spillways and dikes. Therefore, in this study, uncertainty analysis considering the variance of design floods is performed to evaluate the uncertainty of the hydrologic risk of flood related hydraulic structures using frequency analysis.

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실증적 연구에 의한 물류시스템 합리화 방안 (Rationalization Of Logistic System Through Practical Survey And Analysis.)

  • 서경범
    • 산업경영시스템학회지
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    • 제17권32호
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    • pp.163-175
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    • 1994
  • This paper is to establish rational logistic system practical study between korea and Japan. In this paper the five logistic function of korea business are classified and investigated and analyzed. And two, i.e., strategic and tactic, aspects of logistic system between two nations are compared with each other through practical study Finally this Paper Proposes a integrated logistic system exploiting the strength of both nations.

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Generalized Logistic 분포형을 이용한 지역빈도해석의 불확실성 추정 (Uncertainty Assessment of Regional Frequency Analysis for Generalized Logistic Distribution)

  • 신홍준;남우성;정영훈;허준행
    • 대한토목학회논문집
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    • 제28권6B호
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    • pp.723-729
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    • 2008
  • 본 연구에서는 홍수지수법의 불확실성을 평가하기 위해 우리나라 강우자료의 지역빈도해석에 적합한 것으로 제안된 generalized logistic 분포형의 quantile에 대한 점근 분산식을 이용하여 성장곡선에 대한 신뢰구간을 산정하였다. 또한 지점 빈도해석과 지역빈도해석에 의한 quantile의 분산을 이용하여 빈도해석의 효율성 지표(efficiency index)를 계산하였다. 우리나라 378개 강우 관측 지점을 바탕으로 구분한 14개 동질 지역에 대해 효율성 지표를 계산한 결과 홍수지수법이 지점빈도 해석보다 불확실성이 더 작은 quantile을 추정하는 것으로 나타났다. 한 지역에 포함되는 지점 개수가 과다하지 않도록 조정하는 것이 지역빈도해석의 효율성 측면에서 나은 것으로 나타났다.

고장진단체계 구축을 통한 미래전차의 군수지원성 향상 방안 연구 (Logistic Supportability Improvement Program for the Future Main Battle Tank)

  • 정창모;이명천
    • 시스템엔지니어링학술지
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    • 제1권2호
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    • pp.34-42
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    • 2005
  • Logistic Support Analysis(LSA) and Logistic Supportability Review must be carried out as soon as possible in development stage in order to minimize operation/maintenance cost that head the list of weapon cost and improve logistic supportability of the weapon system. And the result must be used for hardware designs to set up to be able to input to the system design and logistic support elements. Therefore Logistic Support Elements must be planed/developed/supplied with the main combat system concurrently and performance and logistic supportability of the comabat system had better be improved mutually. This report describes maintenance concept changes of weapon systems, fault diagnosis function and test equipment state on the domestic MBT(main battle tank). And then it presents application and intensification of itself fault diagnosis system for a domestic future MBT considering connection with IETM(Interactive Electronic Technical Manual) and TE(Test Equipment).

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물류중심형 자유지대의 경제적 파급효과에 관한 연구 - 부산항을 중심으로 - (Economic Effects of Establishing a Logistic Free Zone in the Port of Busan)

  • 손애휘
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2000년도 추계학술대회논문집
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    • pp.33.2-42
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    • 2000
  • This study probes the necessity of establishing a logistic free zone in Port of Busan. It considers the economic effects of establishing the logistic free zone of Busan Port, and suggests policy prescriptions for introducing the free zone system and improving the logistics functions of Busan Port. Using input-output table data, the regression analysis was able to provide a quantitative prediction on effects of making the Busan Port a tariff-free zone. Influence for the regional economy due to the enforcement of the free zone system this research found that a strong positive effects should be expected on the Busan regional economy once the logistic free zone would be set up at the Port of Busan. The positive economic effects on Busan regional industries might be further strengthened if the value-added logistics function of Busan Port could be supplemented by linking to the hinterland of Busan Port.

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이원 이항 계수치 자료의 로지스틱 회귀 분석 (A Logistic Regression Analysis of Two-Way Binary Attribute Data)

  • 안해일
    • 산업경영시스템학회지
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    • 제35권3호
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    • pp.118-128
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    • 2012
  • An attempt is given to the problem of analyzing the two-way binary attribute data using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the analysis of variance (ANOVA) may not be good enough, especially for the case that the proportion is very low or high. The logistic transformation of proportion data could be a help, but not sound in the statistical sense. Meanwhile, the adoption of generalized least squares (GLS) method entails much to estimate the variance-covariance matrix. On the other hand, the logistic regression methodology provides sound statistical means in estimating related confidence intervals and testing the significance of model parameters. Based on simulated data, the efficiencies of estimates are ensured with a view to demonstrate the usefulness of the methodology.

Landslide Susceptibility Analysis and its Verification using Likelihood Ratio, Logistic Regression and Artificial Neural Network Methods: Case study of Yongin, Korea

  • Lee, S.;Ryu, J. H.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.132-134
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    • 2003
  • The likelihood ratio, logistic regression and artificial neural networks methods are applied and verified for analysis of landslide susceptibility in Yongin, Korea using GIS. From a spatial database containing such data as landslide location, topography, soil, forest, geology and land use, the 14 landsliderelated factors were calculated or extracted. Using these factors, landslide susceptibility indexes were calculated by likelihood ratio, logistic regression and artificial neural network methods. Before the calculation, the study area was divided into two sides (west and east) of equal area, for verification of the methods. Thus, the west side was used to assess the landslide susceptibility, and the east side was used to verify the derived susceptibility. The results of the landslide susceptibility analysis were verified using success and prediction rates. The v erification results showed satisfactory agreement between the susceptibility map and the exis ting data on landslide locations.

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