• Title/Summary/Keyword: 회귀분석법

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Suggestion of Regression Equations for Estimating RMR Factor Rating by Geological Condition (지질 조건을 고려한 RMR 인자값 추정을 위한 선형회귀식 제안)

  • Kim, Kwang-Yeom;Yim, Sung-Bin;Kim, Sung-Kwon;Kim, Chang-Yong;Seo, Yong-Seok
    • The Journal of Engineering Geology
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    • v.17 no.4
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    • pp.555-566
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    • 2007
  • In general, RMR classification system is used for the support design of a tunnel. Face mapping during excavation and RMR-based rock classifications are conducted in order to provide information for complementary changes to preliminary survey plans and for continuous geological estimations in direction of tunnel route. Although they are ever so important, there are not enough time for survey in general and sometimes even face mapping is not available. Linear regression analysis for the estimation of mediating RQD and condition of discontinuities, which require longer time and more detailed observation in RMR, was performed and optimum regression equations are suggest as the result. The geological data collected from tunnels were analyzed in accordance with three rock types as sedimentary rock, phyllite and granite to see geological effects, generally not been considered in previous researches. Parameters for the regression analysis were set another RMR factor.

Determination of Baicalin and Baicalein Contents in Scutellaria baicalensis by NIRS (근적외선분광분석기를 이용한 황금(Scutellaria baicalensis)의 baicalin 및 baicalein 함량 분석)

  • Kim, Hyo-Jae;Kim, Se-Young;Lee, Young-Sang;Kim, Yong-Ho
    • Korean Journal of Plant Resources
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    • v.27 no.4
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    • pp.286-292
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    • 2014
  • Near infrared reflectance spectroscopy (NIRS) is a rapid and accurate analytical method for determining the composition of agricultural products and feeds. This study was conducted to measure baicalin, baicalein, and wogonin contents in Scutellaria baicalensis by using NIRS system. Total 63 samples previously were analyzed by HPLC, which showed baicalin, baicalein, and wogonin contents ranging 4.56 to 13.59%, 0.28 to 5.54%, and 0.50 to 1.63% with an average of 9.66%, 2.09% and 0.52%, respectively. Each sample was scanned by NIRS and calculated for calibration and validation equation. A calibration equation calculated by modified partial least squares(MPLS) regression technique was developed in which the coefficient of determination for baicalin, baicalein, and wogonin content was 0.958, 0.944, and 0.709, respectively. Each calibration equation was applied to validation set that was performed with the remaining samples not included in the calibration set, which showed high positive correlation both in baicalin and baicalein content file. In case of wogonin, the prediction model was needed more accuracy because of low $R^2$ value in validation set. These results demonstrate that the developed NIRS equation can be practically used as a rapid screening method for quantification of baicalin and baicalein contents in Scutellaria baicalensis.

Comparison of Principal Component Regression and Nonparametric Multivariate Trend Test for Multivariate Linkage (다변량 형질의 유전연관성에 대한 주성분을 이용한 회귀방법와 다변량 비모수 추세검정법의 비교)

  • Kim, Su-Young;Song, Hae-Hiang
    • The Korean Journal of Applied Statistics
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    • v.21 no.1
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    • pp.19-33
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    • 2008
  • Linear regression method, proposed by Haseman and Elston(1972), for detecting linkage to a quantitative trait of sib pairs is a linkage testing method for a single locus and a single trait. However, multivariate methods for detecting linkage are needed, when information from each of several traits that are affected by the same major gene are available on each individual. Amos et al. (1990) extended the regression method of Haseman and Elston(1972) to incorporate observations of two or more traits by estimating the principal component linear function that results in the strongest correlation between the squared pair differences in the trait measurements and identity by descent at a marker locus. But, it is impossible to control the probability of type I errors with this method at present, since the exact distribution of the statistic that they use is yet unknown. In this paper, we propose a multivariate nonparametric trend test for detecting linkage to multiple traits. We compared with a simulation study the efficiencies of multivariate nonparametric trend test with those of the method developed by Amos et al. (1990) for quantitative traits data. For multivariate nonparametric trend test, the results of the simulation study reveal that the Type I error rates are close to the predetermined significance levels, and have in general high powers.

Study on the Estimation of Duncan & Chang Model Parameters-initial Tangent Modulus and Ultimate Deviator Stress for Compacted Weathered Soil (다짐 풍화토의 Duncan & Chang 모델 매개변수-초기접선계수와 극한축차응력 산정에 관한 연구)

  • Yoo, Kunsun
    • Journal of the Korean GEO-environmental Society
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    • v.19 no.12
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    • pp.47-58
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    • 2018
  • Duncan & Chang(1970) proposed the Duncan-Chang model that a linear relation of transformed stress-strain plots was reconstituted from a nonlinear relation of stress-strain curve of triaxial compression test using hyperbolic theory so as to estimate an initial tangent modulus and ultimate deviator stress for the soil specimen. Although the transformed stress-strain plots show a linear relationship theoretically, they actually show a nonlinearity at both low and high values of strain of the test. This phenomenon indicates that the stress-strain curve is not a complete form of a hyperbola. So, if linear regression analyses for the transformed stress-strain plot are performed over a full range of strain of a test, error in the estimation of their linear equations is unavoidable depending on ranges of strain with non-linearity. In order to reduce such an error, a modified regression analysis method is proposed in this study, in which linear regression analyses for transformed stress-strain plots are performed over the entire range of strain except the range the non-linearity is shown around starting and ending of the test, and then the initial tangent modulus and ultimate deviator stresses are calculated. Isotropically consolidated-drained triaxial compression tests were performed on compacted weathered soil with a modified Proctor density to obtain their model parameters. The modified regression analyses for transformed stress-strain plots were performed and analyzed results are compared with results estimated by 2 points method (Duncan et al., 1980). As a result of analyses, initial tangent moduli are about 4.0% higher and ultimate deviator stresses are about 2.9% lower than those values estimated by Duncan's 2 points method.

한국 노인의 잔존치수와 저작능력과의 관계

  • Choe, Yun-Hwa
    • Proceedings of The Korean Society of Health Promotion Conference
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    • 2009.05a
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    • pp.83-83
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    • 2009
  • 본 연구는 한국인 노년층이 대표적으로 섭취하는 강도별 음식을 조사하고 각 음식별로 씹어 먹을 수 있는 음식들이 무엇인지를 조사하여 자신이 보유하고 있는 자연치아수와의 상관관계를 알아보아 자연치아의 건강도를 유지, 관리, 예방하는데 하나의 지표로 사용하고 더 나아가 국민구강건강향상에 이바지 하고자 실시되었다. 전국의 60세 남 녀 586명을 대상으로 치과의사와 치과위생사가 구강검사와 면접법으로 설문내용을 기록하는 방식으로 진행하였다. 수집된 자료는 SPSS WIN 14.0 프로그램을 이용하여 분석하였다. 분석기법으로는 잔존치아수와 저작능력간의 관계를 상관계수와 회귀분석으로 분석 검증을 실시하여 다음과 같은 결과를 얻었다. 1. 저작능력과 구강상태와는 치석, 동요도, 충전점수, 우식경험점수, 발거치아수, 임플란트 수, 자연치아수와 나이, 고혈압, 당뇨병, 기타질환, 흡연이 유의한 것으로 나타났다(p<0.05). 2. 회귀분석 결과 나이가 높을수록 저작능력이 감소하며, 자연치아수가 많을수록 저작능력이 높은 것으로 나타났으며 회귀방정식은 저작능력=79.417-(연령$\times$0.281)+3.813$\times$치아수와 같았다(p<0.05). 3. 회귀분석결과 저작능력점수와 자연치아수와의 관계가 가장 높은 것으로 나타났고 회귀방정식은 저작능력=3.817$\times$자연치아+58.694와 같았다(p<0.05). 4. 자연치아로 식사를 하기 위해서는 한국 노인의 주식인 밥과 김치정도를 잘 씹어 먹으려면 잔존 자연치아수가 18개 정도는 있어야 아주 잘 씹어 먹을 수 있고, 잘 먹으려면 12개의 자연치아가 있어야 하며, 육류를 잘 먹기 위해서는 최소한 18개는 있어야 잘 먹을 수 있고, 25개가 있으면 아주 잘 씹어 먹을 수 있다는 연구결과가 나왔다.

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Relative Efficiency and Productivity of Life Insurance Industry to Pre and Post-execution of Capital Market Law (자본시장법 시행 전·후 생명보험 산업의 상대적 효율성 및 생산성)

  • Kim, Mi-Kyoung;Park, Hee-Jung;Kang, Ho-Jung
    • The Journal of the Korea Contents Association
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    • v.14 no.8
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    • pp.394-405
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    • 2014
  • Purposes of this study are to find difference in efficiency, productivity change and determinants on efficiency of life insurance industry between pre and post-execution of capital market law on the basis of pre(2005-2008) and post-execution(2009-2012) data. Main results of this research are as follows. First, there was no significant difference of mean value for efficiency between pre and post execution of capital market law. Second, difference of mean value for malmquist index between pre and post execution of capital market law was statistically significant at 5% level. This imply increase in productivity for post-execution of capital market law. Third, one of the important determinant for efficiency was the weight of life planner in both pre and post-execution of capital market law. The weight of life planner had significant positive effect on efficiency.

Development of Multiple Linear Regression Model to Predict Agricultural Reservoir Storage based on Naive Bayes Classification and Weather Forecast Data (나이브 베이즈 분류와 기상예보자료 기반의 농업용 저수지 저수율 전망을 위한 저수율 예측 다중선형 회귀모형 개발)

  • Kim, Jin Uk;Jung, Chung Gil;Lee, Ji Wan;Kim, Seong Joon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.112-112
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    • 2018
  • 최근 이상기후로 인한 국부적인 혹은 광역적인 가뭄이 빈번하게 발생하고 있는 추세이며 발생횟수 뿐 아니라 가뭄 심도 및 지속기간이 과거보다 크게 증가하여 그에 따른 피해가 커질 것으로 예측되고 있다. 특히, 2014~2015년도의 유례없는 가뭄으로 인해 저수지 용수공급이 제한되면서 많은 농가들이 피해를 입었다. 본 연구의 목적은 전국 농업용 저수지를 대상으로 기상청 3개월 예보자료를 활용 할 수 있는 농업용 저수지 저수율 다중선형 회귀 모형을 개발하여 저수율 전망정보를 생산하는 것이다. 본 연구에서는 전국에 적용 가능한 저수율 다중선형 회귀 모형개발을 위해 5개의 기상요소(강수량, 최고기온, 최저기온, 평균기온, 평균풍속)와 관측 저수지 저수율을 활용했다. 기상자료는 2002년부터 2017년까지의 기상청 63개 지상관측소로부터 기상관측자료를 수집하였다. 본 연구에서는 저수율 전망 단계를 세 단계로 나누었다. 첫 번째 단계로 농어촌공사에서 전국 511개 용수구역을 대상으로 군집분석 및 의사결정나무 분석을 통해 제시한 65개 대표저수지를 대상으로 기상자료 및 관측 저수율 자료를 이용하여 다중선형 회귀분석을 실시하였다. 수집한 기상요소와 저수율을 독립변수로 하여 월별 회귀식을 산정한 결과 결정계수($R^2$)는 0.51~0.95로 나타났다. 두 번째 단계로 대표저수지의 회귀분석 결과를 전국의 저수지로 확대하기 위해 나이브 베이즈 분류법을 적용하여 전국 3098개의 저수지를 65의 군집으로 분류하고 각각의 군집에 해당되는 월별 회귀식을 산정하였다. 마지막으로 전국 저수지로 산정된 회귀식과 농업 가뭄 예측을 위해 기상청의 GS5(Global Seasonal Forecasting System 5) 3개월 예보자료를 수집하여 회귀식에 적용해 2017년 전국 저수지의 3개월 저수율 전망정보를 생산하였다. 본 연구의 전국 저수지 군집결과 기반의 저수율 전망기술은 2017년도 관측 저수율과 비교한 결과 유의한 상관성을 나타냈으며 이 결과는 추후 농업용 저수지의 물 공급 및 농업가뭄 전망 자료로서 이용이 가능할 것으로 판단된다.

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Optimization of Crude Protein Recovery from Papaya Latex Extract Using Response Surface Methodology (반응표면 분석법을 이용한 Papaya 유액추출물에서 Crude Protein 회수 조건의 최적화)

  • Oh, Hoon-Il;Oh, Sang-Joon;Kim, Jeong-Mee
    • Korean Journal of Food Science and Technology
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    • v.29 no.4
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    • pp.752-757
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    • 1997
  • Crude papain extracted at optimum condition was purified with an ethanol precipitation method. Four factors of protein recovery method were optimized by response surface methodology (RSM) and the function was expressed in terms of a quadratic polynomial equation. Adequacy of the model equation for optimum response values was tested and optimum conditions of protein recovery were 38.2 mg/mL of protein, ethanol concentration of 40% and precipitation temperature of $-8^{\circ}C$. The experimental value (68.97%) for recovery yield was closed to the predicted value (77.28%) under these conditions.

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