• 제목/요약/키워드: Multiple regression model

검색결과 2,531건 처리시간 0.029초

아동의 정서적 부적응 행동과 관련변인과의 인과모형 분석 (A Casual Model between Emotional Maladjustment Behaviors of Children and Related Variables)

  • 최정미;우희정;이숙
    • 한국지역사회생활과학회지
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    • 제17권3호
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    • pp.29-41
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    • 2006
  • The purpose of this research is to study the causal model among mother related variables, child abuse, and children's emotional maladjustment behaviors. The sample subjects were 542 pairs of fifth and sixth grade elementary school students and first as well as eighth grade middle school students, and their mothers. The major findings of the research are as follows: First, the result of multiple regression analysis on the effects of the maternal parenting stress and marital satisfaction to the children's abuse indicates that stress related to learning expectation and stress related to relationship with child are the significant contributing factor to physical abuse and verbal abuse. Second, the result of multiple regression analysis on the effects of the maternal parenting stress and child abuse to the children's emotional maladjustment behaviors indicate that verbal abuse is the significant contributing factor. Third, looking at causal relations of the maternal variables (maternal parenting stress, marital satisfaction) and child abuse (physical abuse, verbal abuse, neglect) to the children's emotional maladjustment behaviors, maternal variables impact indirectly through the child abuse factor.

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구속 다중선형회귀 모형을 이용한 기후변화에 따른 농작물 홍수 피해 면적 분석 (Analysis of the Crop Damage Area Related to Flood by Climate Change Using a Constrained Multiple Linear Regression Model)

  • 김묘정;김광섭
    • 한국농공학회논문집
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    • 제62권2호
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    • pp.1-15
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    • 2020
  • In this study, the characteristics of crop damage area by flooding for 113 middle range watersheds during 2000-2016 were analyzed and future crop damage area by flooding were analyzed using 13 GCM outputs such as hourly maximum rainfall, 10-min maximum rainfall, number of days of 80 mm/day, daily rainfall maximum, annual rainfall amount associated with RCP 4.5 and RCP 8.5 scenarios and watershed characteristic data such as DEM, urbanization ratio, population density, asset density, road improvement ratio, river improvement ratio, drainage system improvement ratio, pumping capacity, detention basin capacity, and crop damage area by flooding. A constrained multiple linear regression model was used to construct the relationships between the crop damage area by flooding and other variables. Future flood index related to crop damage may mainly increase in the Mankyung watershed, Southwest part of Youngsan and Sumjin river basin and Southern part of Nackdong river basin. Results are useful to identify watersheds which need to establish strategies for responding to future flood damage.

디지털 인쇄에 있어서 컬러의 최적화에 관한 연구 (A Study on the Optimization of color in Digital Printing)

  • 김재해;이성형;조가람;구철회
    • 한국인쇄학회지
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    • 제26권1호
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    • pp.51-64
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    • 2008
  • In this paper, an experiment was done where the input(scanner, digital still camera) and monitor(CRT, LCD) device used the linear multiple regression and the GOG (Gain-Offset-Gamma) characterization model to perform a color transformation. Also to color conversion method of the digital printer it used the LUT(Look Up Table), 3dimension linear interpolation and a tetrahedron interpolation method. The results are as follows. From color reappearance of digital printing case of monitor, the XYZ which it converts in linear multiple regression of input device it multiplied the inverse matrix, and then it applies the inverse GOG model and after color converting the patch of the result most which showed color difference below 5 at monitor RGB value. Also, The XYZ which is transmitted from the case input device which is a printer it makes at LAB value to convert an extreme, when the LAB value which is converted calculating the CMY with the LUT and tetrahedral interpolations the color conversion which considers the black quantity was more accurate.

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Correlations Among Speed of Sound, Broadband Ultrasonic Attenuation, Broadband Ultrasonic Reflection, and Bone Density in Bovine Cancellous Bone

  • Lee, Kang-Il;Choi, Bok-Kyoungi;Yoon, Suk-Wang
    • The Journal of the Acoustical Society of Korea
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    • 제22권2E호
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    • pp.69-77
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    • 2003
  • Correlations between acoustic properties and bone density have been investigated in bovine cancellous bone. Speed of sound (SOS), broadband ultrasonic attenuation (BUA), and broadband ultrasonic reflection (BUR) were measured in 10 defatted bovine cancellous bone specimens in vitro. SOS showed a significant correlation with the apparent density of the bone. A comparable correlation was observed between BUA and the apparent density. BUR was rather highly correlated with the apparent density. It was shown that BUR had a weak correlation with BUA and a significant correlation with SOS. This indicates that the parameter BUR can provide important information that may not be contained in BUA and SOS and, therefore, can be useful as an alternative diagnostic parameter of osteoporosis. As expected, a linear combination of all three ultrasonic parameters in a multiple regression model resulted in a significant improvement in predicting the apparent bone density.

소셜커머스를 통한 패션제품 구매자의 만족도와 재구매 의도에 관한 연구 (A Study on Satisfaction and Intention to Re-purchase Fashion Goods Through Social Commerce)

  • 이민지;정성지;전양진
    • 한국의상디자인학회지
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    • 제14권2호
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    • pp.63-74
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    • 2012
  • The purpose of this study was to find factors affecting satisfaction and intention to re-purchase fashion goods through social commerce. A questionnaire method was applied for 123 women aged from twenties to thirties, with buying experience in fashion goods through social commerce. Independent variables were service quality, fashion shopping orientation, and demographics. Factor analyses and multiple regression methods were used to analyze data. Factor analyses resulted in two factors for service quality and resulted in four factors for fashion shopping orientation. The results of multiple regression analyses showed that convenience & benefits and site layout factors of the service quality had significant impacts on satisfaction in fashion social commerce. Those two service quality factors, demographics like job, and satisfaction were shown significantly important to predict intention to re-purchase fashion goods on social commerce service. Intention to re-purchase was best explained in the model with satisfaction as an independent variable. Meanwhile, shopping orientation factors were not important in any model.

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잠제가 설치된 유공형 해수교환방파제의 도수량 특성 분석 (Analysis of Discharge Characteristics for the Seawater Exchange Breakwater Composed of Tunneled Breakwater and Submerged Mound)

  • 정신택;이달수;조홍연;오영민
    • Ocean and Polar Research
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    • 제26권3호
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    • pp.465-473
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    • 2004
  • Five parameters such as the entrance size of the front wall, conduit size, wave period, wave height and the width of water pool were selected to estimate the inflow rate, which is basic and essential input data to design seawater exchange breakwater with a submerged mound by conducting hydraulic model experiments. In the results of multiple regression analysis, log-log equation showed a good agreement rather than linear equation and the estimation of inflow rate was well done with only two parameters except entrance size of the front wall, wave period and the width of water pool. Finally, non-dimensional flow rate equation is derived.

농촌지역의 산업특성과 인구노령화의 상관성 분석을 통한 지역산업개발방향 제시에 관한 연구 (A Proposition of Regional Development Planning in Defining the Analytical Relationship between Industrial Characteristics of Rural Areas and Aged Population Index)

  • 서교;이지민;한이철;이정재;윤성수
    • 농촌계획
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    • 제10권2호
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    • pp.1-6
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    • 2004
  • This study tried to construct a direction in regional planning concerning the structural relationship between the ratio of aged population and the industrial characteristics. We investigated this structural relationship incorporating the aged population index and the number of classified companies. We applied diverse statistical analyses to understand the relationship. We classified the number of companies to reflect regional industrial characteristics using the principal component analysis. We applied a multiple regression model to understand the relationship between these two indices. The aged population index represents the degree of being old divided by the ratio of juvenile population and aged population. We found that such industries as manufacturing, service, and conveyance increase the ratio of juvenile population. However, industries such as tourism, waterworks, forestry, agriculture and etc. have a positive effect on the aged population index. In addition to these findings, we believe that the efficacy of this study is the possibility that can be used as the basic data when central or local autonomous entities need to adopt rural development planning.

다변량분석을 이용한 터널에서의 효율적인 암반분류에 관한 연구 (A Study of Efficient Rock Mass Rating for Tunnel Using Multivariate Analysis)

  • 위용곤;노상림;윤지선
    • 한국터널지하공간학회 논문집
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    • 제2권2호
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    • pp.41-49
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    • 2000
  • 지하 터널 굴착 등의 암반 공학적 문제에 있어서 암반분류가 널리 적용되고 있다. 하지만, 조사 방법이 체계화되어 있지 않아서 터널 지질 전문가라 할지라도 암반분류에 어려움이 많은 문제점을 가지고 있다. 본 연구에서는 다변량분석을 이용하여 객관적이고 사용하기 간편한 암반분류법을 제시하였다. RMR 요소는 RQD, 절리상태, 지하수, 강도, 보정, 절리간격 순으로 중요도가 결정되었으며, 각각의 단계에서 RMR에 관한 최적의 다중회귀모형식을 제시하였다.

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An Impact Analysis and Prediction of Disaster on Forest Fire

  • Kim, Youn Su;Lee, Yeong Ju;Chang, In Hong
    • 통합자연과학논문집
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    • 제13권1호
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    • pp.34-40
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    • 2020
  • This study aims to create a model for predicting the number of extinguishment manpower to put out forest fires by taking into account the climate, the situation, and the extent of the damage at the time of the forest fires. Past research has been approached to determine the cause of the forest fire or to predict the occurrence of a forest fire. How to deal with forest fires is also a very important part of how to deal with them, so predicting the number of extinguishment manpower is important. Therefore predicting the number of extinguishment manpower that have been put into the forest fire is something that can be presented as a new perspective. This study presents a model for predicting the number of extinguishment manpower inputs considering the scale of the damage with forest fire on a scale bigger than 0.1 ha as data based on the forest fire annual report(Korea Forest Service; KFS) from 2015 to 2018 using the moderated multiple regression analysis. As a result, weather factors and extinguished time considering the damage show that affect forest fire extinguishment manpower.

흡연 중학생의 금연의도에 영향 미치는 요인: ASE 모델 적용을 중심으로 (Factors affecting Smoking Middle School Students' Intention to Quit Smoking: On the Basis of the ASE Model)

  • 서영숙;김영임
    • 지역사회간호학회지
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    • 제24권4호
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    • pp.471-479
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    • 2013
  • Purpose: This study was conducted to identify factors for smoking middle school students' intention to quit smoking on the basis of the social influence and self-efficacy [ASE] model. Methods: Data were collected from 2,015 students from five middle schools in Daegu with a structured questionnaire in March, 2013 and analyzed by using $x^2$-test, ANOVA, pearson's correlation and multiple regression analysis. Results: The smoking rate was 6.1% among the total subjects and 85.4% of the smokers had intention to quit smoking. The mean value of attitude toward quitting smoking was $2.15{\pm}0.34$, that of social influence $3.38{\pm}0.65$, and that of self-efficacy $2.84{\pm}0.95$. The multiple regression analysis showed an explanatory power of 24.7%, and experience of trying to quit smoking was the strongest factor affecting the intention to quit smoking (${\beta}$=.34, p<.01), followed by school years and social influence. Conclusion: In order to increase smoking middle school students' intention to quit smoking, intervention strategies are needed to increase positive social influence or to offer public information to younger smoking students in low school years.