• 제목/요약/키워드: Multi-Variable Regression Analysis

검색결과 121건 처리시간 0.025초

Approximate estimation of soil moisture from NDVI and Land Surface Temperature over Andong region, Korea

  • Kim, Hyunji;Ryu, Jae-Hyun;Seo, Min Ji;Lee, Chang Suk;Han, Kyung-Soo
    • 대한원격탐사학회지
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    • 제30권3호
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    • pp.375-381
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    • 2014
  • Soil moisture is an essential satellite-driven variable for understanding hydrologic, pedologic and geomorphic processes. The European Space Agency (ESA) has endorsed soil moisture as one of Climate Change Initiates (CCI) and had merged multi-satellites over 30 years. The $0.25^{\circ}$ coarse resolution soil moisture satellite data showed correlations with variables of a water stress index, Temperature-Vegetation Dryness Index (TVDI), from a stepwise regression analysis. The ancillary data from TVDI, Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from MODIS were inputted to a multi-regression analysis for estimating the surface soil moisture. The estimated soil moisture was validated with in-situ soil moisture data from April, 2012 to March, 2013 at Andong observation sites in South Korea. The soil moisture estimated using satellite-based LST and NDVI showed a good agreement with the observed ground data that this approach is plausible to define spatial distribution of surface soil moisture.

회귀 분석 모델을 이용한 고리 1호기 해체 비용 추정 (Decommissioning Cost Estimation of Kori Unit 1 Using a Multi-Regression Analysis Model)

  • 주한영;김재욱;정소윤;문주현
    • 방사성폐기물학회지
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    • 제18권2_spc호
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    • pp.247-260
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    • 2020
  • 본 논문에서는 고리 1호기 해체 비용 추정을 위해 외국 원자력발전소 해체 비용 데이터를 현가화한 후 원자력발전소 해체 비용 추정 회귀 분석모델을 개발하였다. 이 모델 개발에 사용된 데이터는 해체 또는 진행 중인 BWR 13기, PWR 16기의 해체 비용 데이터이다. 회귀 분석모델 도출을 위해, 해체 비용을 종속변수로 정하고, 해체 원전의 운전 특성을 반영할 수 있게 고안된 Contamination factor와 해체 기간을 독립변수로 선정하였다. 빅데이터 분석 도구인 R language의 통계패키지를 이용하여 회귀 분석모델을 도출하였다. 이 회귀 분석 모델을 적용하여 고리 1호기 해체 비용을 예측한 결과, 미화 663.40~928.32백만 달러, 한화 약 7,828.12억~1조 954.18억 원이 소요될 것으로 예측되었다.

다범주 순서형 품질특성을 갖는 제품의 최적 공정조건 결정에 관한 연구 (Optimal Process Condition for Products with Multi-Categorical Ordinal Quality Characteristic)

  • 김상철;윤원영;전영록
    • 품질경영학회지
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    • 제32권3호
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    • pp.109-125
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    • 2004
  • This paper deals with an optimal process control problem in production of hull structural steel plate with high defective rate. The main quality characteristic(dependent variable) is the internal quality(defect) of plates and is dependent on process parameters(independent variables). The dependent variable(quality characteristics) has three categorical ordinal data and there are 35 independent variables(29 continuous variables and 6 categorical variables). In this paper, we determine the main factors and to develop the mathematical model between internal quality predicted probabilities and the main factors. Secondly, we find out the optimal process condition of main factors through analysis of variance(ANOVA) using simulation. We consider three models to obtain the main factors and the optimal process condition: linear, quadratic, error models.

주부의 가사노동 선호성에 영향을 미치는 가족환경적 변인 분석 (The Analysis of Family Environmental Variables Affecting the Household Preferences)

  • 이기숙
    • 대한가정학회지
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    • 제20권4호
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    • pp.125-132
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    • 1982
  • The purpose of this study was to see that how about the variables of homemaker's age, marital periods, children numbers, homemaker's employment, family types, house types, family income, homemaker's education level, and the convenience of kitchen and laundry influence on homemaker's household preferences. On this study, the household tasks were classified into the tasks on Care of clothes, Mal preparation and clean-up, Care of the house, Care of the family members, and Marketing and record keeping. Questionaires were given to randomly selected homemakers in Busan in July, 1982. Data from the 736 respones were analyzed according to Multi regression and T-test. The results were as follows: 1. The variables affecting the homemaker's household preferences were marital periods, family income and the convenience of kitchen and laundry. Longer the marital periods, higher the family income and more feeling the convence were taken higher preferences on household tasks. 2. The variable of age was less significantly related to the homemaker's household preferences than the marital periods. 3. The variable of house types was less significantly related to the homemaker's household preferences than the convenience of kitchen and laundry.

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기내 서비스 환경에 대한 승무원의 인식이 동기부여 및 서비스 지향성을 매개로 하여 서비스 제공행동에 미치는 영향에 관한 연구 (A Study on Cabin Crew's Perception of Cabin Servicescape to Their Service Performance through Motivation and Direction)

  • 최덕진;김문선;김기웅;박성식
    • 한국항공운항학회지
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    • 제21권4호
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    • pp.53-61
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    • 2013
  • In-flight service, depending on the perceptions of service satisfaction because ever turns into a variable, which enables service providers the flexibility of a variable in the end flight service to suit your needs to providing comprehensive and proactive services of the crew will be motivated. In addition, the service provider's motivation to work in a confined space on board the flight service characteristics in-flight service will be a major impact on the environment. This service-oriented environment, in-flight service and motivation in order to verify the impact on services in Cape factors as independent variables and the dependent variable service-oriented multi-regression analysis was performed. As a result, the motivation of the crew and the crew of the service-oriented, with a voluntary service crew services dependent variable parameters that affect the behavior of the acts. Services and service-oriented motivation Cape factors significantly influence both the irradiated while the impact on voluntary service and results verification service aesthetics, cleanliness, and physical service environment, only the voluntary services of the crew a positive effect on that the effects were investigated.

다수준분석을 활용한 개인특성 및 지역환경에 따른 우울증 관련 영향요인 분석 (Related Factors of Depression according to Individual Attributes and Regional Environment: Using Multi-Level Analysis)

  • 문석준;이가람;남은우
    • 보건행정학회지
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    • 제30권3호
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    • pp.355-365
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    • 2020
  • Background: This study is aimed to verify individual and regional-level factors affecting the depression of Koreans and to develop social programs for improving the depressive status. Methods: This study used individual-level variables from the Korean Community Health Survey (2018) and used the e-regional index of the Korean Statistical Information Service as the regional-level variable. A multi-level logistic regression was executed to identify individual and regional-level variables that were expected to affect the extent of depressive symptoms and to draw the receiver operating characteristic curve to compare the volume of impact between variables from both levels. Results: The results of the multi-level logistic regression analysis in regards to individual-level factors showed that older age, female gender, a lower income level, a lower education level, not having a spouse, the practice of walking, the consumption of breakfast higher levels of stress, and having high blood pressure or diabetes were associated with a greater increase in depressive symptoms. In terms of regional factors, areas with fewer cultural facilities and fewer car registration had higher levels of depressive symptoms. The comparison of area under the curve showed that individual factors had a greater influence than regional factors. Conclusion: This study showed that while both, individual and regional-level factors affect depression, the influence of the latter was relatively weaker as compared to the first. In this sense, it is necessary to develop programs focused on the individual, such as social prescribing at the local or community-level, rather than the city and nation-level approach that are currently prevalent.

다변량 통계분석법을 이용한 PET 중합공정 중 직접 에스테르화 반응기의 거동 및 생산제품 예측 (Multivariate Statistical Analysis Approach to Predict the Reactor Properties and the Product Quality of a Direct Esterification Reactor for PET Synthesis)

  • 김성영;정창복;최수형;이범석;이범석
    • 제어로봇시스템학회논문지
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    • 제11권6호
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    • pp.550-557
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    • 2005
  • The multivariate statistical analysis methods, using both multiple linear regression(MLR) and partial least square(PLS), have been applied to predict the reactor properties and the product quality of a direct esterification reactor for polyethylene terephthalate(PET) synthesis. On the basis of the set of data including the flow rate of water vapor, the flow rate of EG vapor, the concentration of acid end groups of a product and other operating conditions such as temperature, pressure, reaction times and feed monomer mole ratio, two multi-variable analysis methods have been applied. Their regression and prediction abilities also have been compared. The prediction results are critically compared with the actual plant data and the other mathematical model based results in reliability. This paper shows that PLS method approach can be used for the reasonably accurate prediction of a product quality of a direct esterification reactor in PET synthesis process.

도시공원 구조 및 식생 조건에 따른 조류 종다양성 분석 - 천안시 26개 도시공원을 대상으로 - (Analysis of Bird Species Diversity Response to Structural Conditions of Urban Park - Focused on 26 Urban Parks in Cheonan City -)

  • 송원경
    • 한국환경복원기술학회지
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    • 제18권3호
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    • pp.65-77
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    • 2015
  • The urban park has important functions as a habitat for wildlife as well as open space of rest and community for people. This study was carried out to find what factors of structure and vegetation of urban parks could affect forest bird species diversity in Cheonan city. The study surveyed bird and vegetation species in 26 urban parks, Cheonan city. A correlation analysis and multiple linear regressions were performed to test whether habitat structure and vegetation were the major correlate with species diversity. The results showed the Dujeong park was the most high bird species diversity (H' = 2.13), and the Dujeong-8 park (H' = 2.02) and the Cheongsa park (H' = 1.73) were considerably higher than the other urban parks. The variables that were strongly correlated with bird species diversity were park area, number of subtree species, canopy of shrub, number of shrub species, shape index, canopy of subtree, canopy of tree, and impervious surface ratio. The regression of bird species diversity against the environmental variables showed that 3 variables of park area, canopy of subtree, and canopy of tree were included in the best model. Model variable selection was broadly similar for the 5 optimal models. It means park area and multi-layer vegetation were the most consistent and significant predictor of bird species diversity, because urban parks were isolated by built-up areas. Especially the subtree coverage that provides shelter and food for forest birds was an important variable. Therefore, to make parks circular-shaped and abundant multi-layer vegetation, which could be a buffer to external disturbances and improve the quality of habitats, may be used to enhance species diversity in creation and management of urban parks.

영향요인을 고려한 댐 용수공급능력 추정 회귀모형 (Multiple Regression Equations for Estimating Water Supply Capacities of Dams Considering Influencing Factors)

  • 강민구;이광만
    • 한국수자원학회논문집
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    • 제45권11호
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    • pp.1131-1141
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    • 2012
  • 본 연구에서는 댐 용수공급능력에 영향을 미치는 요인들을 요인분석 통계기법을 사용하여 추출하였으며, 그 결과를 이용하여 댐 용수공급능력 추정을 위한 다중회귀모형을 개발하였다. 21개 다목적댐과 12개 생공용수전용댐을 대상으로 하였으며, 다목적댐과 생공용수전용댐으로 구분하여 요인분석을 수행하였다. 댐 용수공급능력에 영향을 미치는 변수로 유역면적, 유입량, 유효저수량, 생공용수량 등급, 농업용수량 등급, 하천유지유량 등급, 하천관리 등급, 평균강우량 등급을 선정하였다. 변수들의 상관계수 행렬점검, Bartlett의 구형성 점검, KMO 표본적합도 점검을 실시하여 변수들의 요인분석에 대한 적합성을 확인하였다. 변수들은 다목적댐의 경우 3개 요인, 생공용수전용댐의 경우 2개 요인으로 분류되었으며, 요인들을 Varimax법을 사용하여 회전시켰다. 요인분석 결과는 댐 용수공급능력에 영향을 미치는 변수들이 합리적으로 선정되었고, 이들이 요인으로 적절하게 분류되었음을 보여주었다. 요인점수를 설명변수로 사용하여 연간용수공급량을 추정할 수 있는 다중회귀모형을 개발하였으며, 개발된 모형의 정확성을 평가하고 적용방법을 제시하였다. 결론적으로 댐 용수공급능력에 영향을 미치는 것으로 파악된 변수 및 요인은 댐 계획 및 설계에 유용하게 활용될 수 있을 것으로 사료된다.

푸드테라피가 다차원적 건강에 미치는 영향 (The Effect of Food Therapy on Multi-dimensional Health)

  • 장석종
    • 한국콘텐츠학회논문지
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    • 제18권1호
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    • pp.222-231
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    • 2018
  • 본 연구는 푸드테라피가 다차원적 건강 증진에 미치는 영향을 분석하고, 그 결과를 토대로 현대인들의 식생활에 시사점을 제공하고자 한다. 연구대상은 서울시와 경기도에 거주하는 30대 이상의 성인이었다. 총 230부의 설문 중, 최종적으로 220부의 설문을 분석에 활용하였다. 다차원적 건강은 주관적 건강(리커트 5점 척도), 기능적 건강(EQ-5D), 의학적 건강(이환의 합)으로 측정하였고, 푸드테라피는 황제내경의 원리에 입각하여 개개인의 체질을 고려하였다. 푸드테라피는 경험 여부(있음/없음), 복용 종류(종류의 합), 복용 기간(개월)으로 측정하였다. 회수된 설문은 독립표본 t검정과 다중회귀분석을 실시하였다. 본 연구의 결과는 다음과 같다. 첫째, 의학적 건강상태에 유의한 영향을 미치는 독립변수는 복용종류와 복용기간이었다. 둘째, 기능적 건강에 통계적으로 유의한 영향을 미치는 독립변수는 없었다. 셋째, 주관적 건강에 통계적으로 유의한 영향을 미치는 독립변수는 없었다. 결국 푸드테라피는 의학적 건강에 유의한 영향을 미치고 있었다. 분석결과 현대인들의 건강수준에 푸드테라피가 유의한 효과가 있다는 사실을 확인하였다.