• 제목/요약/키워드: 다중회귀 분석

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Logistic Regressions with Sensory Evaluation Data about Hanwoo Steer Beef (한우 거세우 고기 관능평가 데이터의 로지스틱 회귀분석)

  • Lee, Hye-Jung;Kim, Jae-Hee
    • The Korean Journal of Applied Statistics
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    • v.23 no.5
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    • pp.857-870
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    • 2010
  • This study was conducted to investigate the relationship between the socio-demographic factors and the Korean consumers palatability evaluation grades with Hanwoo sensory evaluation data from 2006 to 2008 by National Institute of Animal Science. The dichotomy logistic regression model and the multinomial logistic regression model are fitted with the independent variables such as the consumer living location, age, gender occupation, monthly income, beef cut and the the palatability grade as the categorical dependent variable and tenderness, 리avor and juiciness as the continuous dependent variable. Stepwise variable selection procedure is incorporated to find the final model and odds ratios are calculated to nd the associations between categories.

Estimation of Snow Damages using Multiple Regression Model - The Case of Gangwon Province - (대설피해액 추정을 위한 다중회귀 모형의 적용성 평가 - 강원도 지역을 중심으로 -)

  • Kwon, Soon Ho;Chung, Gunhui
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.1
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    • pp.61-72
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    • 2017
  • Due to the climate change, damages of human life and property caused by natural disaster have recently been increasing consistently. In South Korea, total damage by natural disasters over 20 years from 1994 to 2013 is about 1.0 million dollars. The 13% of total damage caused by heavy snow. This is smaller amount than the damage by heavy rainfall or typhoon, but still could cause severe damage in the society. In this study, the snow damage in Gangwon region was estimated using climate variables (daily maximum snow depth, relative humidity, minimum temperature) and scoio-economic variables (Farm population density, GRDP). Multiple regression analysis with enter method was applied to estimate snow damage. As the results, adjusted R-square is above 0.7 in some sub-regions and shows the good applicability although the extreme values are not predicted well. The developed model might be applied for the prompt disaster response.

SOLAS를 이용한 결측자료의 다중대치법

  • Kim, Hyeon-Jeong;Mun, Seung-Ho;Sin, Jae-Gyeong
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.05a
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    • pp.145-158
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    • 2003
  • 불완전 데이터 즉, 결측값을 가지는 데이터를 분석할 경우 결측데이터에 대해서 어떠한 처리를 해야할 필요가 있다. 결측데이터에 대한 처리로서 주로 이용되어온 방법으로는 결측값을 포함한 관측값(case)을 제외하는 방법이었다. 이후 여러 방법들이 제안되어 EM알고리즘이나 회귀알고리즘에 의한 추정을 바탕으로 결측값에 대한 추정을 해서 그 추정값으로 결측값을 대치하는 방법을 사용할 수 있게되었다. 본 논문에서는 복수 개의 데이터세트를 생성해서 대치하는 다중대입 소프트인 SOLAS를 소개한다.

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Prediction of Snow Damage Using Machine Learning Technique (머신러닝 기법을 이용한 대설피해 예측 및 적합성 검토)

  • Lee, Hyeong Joo;Chung, Gunhui
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.192-192
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    • 2020
  • 취약성 분석의 결과로 폭설에 의한 기후노출은 현재에는 강원권이 가장 취약한 것으로 나타났다. 그러나 미래에는 강원권, 충청권, 호남권을 연결하는 축으로 취약지역이 확대될 것으로 전망된다. 본 연구에서는 다양한 머신러닝 기법을 이용하여 대설피해 예측을 실시하였다. 머신러닝 기법으로는 로지스틱회귀모형, 서포트벡터 머신, 의사결정트리 모형을 적용하였다. 종속변수로 대설피해액 자료를 이용하였고, 독립변수로 기상관측자료, 사회·경제적 요소를 사용하였다. 결과적으로 기존에 사용했던 다중회귀모형과 머신러닝 기법으로 예측한 예측력을 비교 및 분석하였고, 예측력이 가장 높은 머신러닝 기법을 제시하였다. 본 연구에서 대설피해 예측을 위해 사용된 예측력이 가장 높은 기법을 활용하여 대설피해를 예측한다면, 미래에 전국적으로 확대될 대설피해에 대해 효과적으로 대비할 수 있을 것으로 기대된다.

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Development of a Spatting Model of Jointed Concrete Pavement by Investigating Long-Term Highway Pavement Performance (고속도로 장기 공용성 조사에 의한 줄눈 콘크리트 포장의 스폴링 모형 개발)

  • Jeong, Jin-Hoon;Yoo, Tae-Seok;Sim, Jong-Sung
    • International Journal of Highway Engineering
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    • v.7 no.2 s.24
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    • pp.77-86
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    • 2005
  • A spalling model for jointed connote pavements(JCP) was developed using the data of distresses, climates, and materials at the sections of long-term pavement performance(LTPP) investigation. The total of forty-four spatting distress data was collected at twenty-two JCP LTPP sections in 1999 and in 2004. In addition, the data of climates, geometric shapes of the slabs, and material properties was also collected at those times. Factors significantly influencing the spalling distress were found by a sensitivity analysis for the data. Consequently, a spatting model was developed by a multi-regression analysis for the factors. The model showed reasonable trend of the spatting development comparing to other foreign models.

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An Estimation of discharge Coefficient for Broad Crested Side Weir (광정횡월류위어의 유량계수 산정)

  • Yoon, Yeong Bae;Cho, Hong Je
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.1B
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    • pp.63-70
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    • 2011
  • To install the side weirs in inlet of washland construction, it is necessary to calculate more accurately the discharges over side weir. In this study, the hydraulic experiments were performed in broad crested side weirs that installed trapezoidal channel and that considered more applicable to the actual river. Upstream Froude number in the main channel and weir height, length, width and slope of main channel were considerd for estimation of discharge coefficient of broad crested side weir. Experimental results show that the discharge coefficient of broad crested side weir depend on, and. New estimated equation for the discharge coefficient are suggested through the multiple regression analysis and its applicability is confirmed by comparing estimated and measured discharges over side weirs.

Stability Analysis of High Speed Railway Tunnel Passing Through the Abandoned Mine Area (폐광지역을 통과하는 고속철도터널의 안정성 평가)

  • 장명환;양형식;정소걸
    • Tunnel and Underground Space
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    • v.10 no.3
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    • pp.395-402
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    • 2000
  • The influence of the mined-out caves on the stability of the high speed railway tunnel was investigated with a series of geological logging and in-situ tests on the one hand, and with the rock mass classification using the multiple regression analysis on the other hand. The rock mass in this area can be classified as 'fair', and the condition of the discontinuities plays the most important role in the classification of the rock mass. The results of the analysis obtained by the FLAC showed that the western part of the tunnel locating at 50m above the mine cavities could be affected by subsidence associated with a considerable deformation, the magnitude of which might depend on the properties of the rock mass.

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강수량과 지형변수의 관계: 제주도 사례연구

  • 김석중
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.09a
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    • pp.147-150
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    • 2004
  • Firstly, the precipitation data have to be interpolated for the estimation of water resources. For this purpose, the correlative analysis is made between the topographic variables, which, influence the precipitation phenomena, are classified by elevation(ELEV), slope(SLOPE), distance to the sea(SEA), obstacle (OBST), barrier(BAR), and roughness index(SHIELD), using TOVA(Topographic Variables Extraction Program) and events precipitation during the periods from january the 1st 2000 to December 31 2002. The coefficients of determination show that each event has different topographic influence and ELEV, SLOPE and OBST to the South-West, and SHIELD of every direction have close relationship with the precipitation. The multiple regression model explains 96% of the spatial variation of precipitation.

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An Empirical Study on the Effects of Private Tutoring and EBS Engagement on Mathematics Achievement (사교육 경험과 EBS 방송 시청이 수학성취도에 미치는 영향에 대한 실증연구)

  • Hong, Soon Sang;Hong, Yoon Pyo
    • Journal of the Korean School Mathematics Society
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    • v.19 no.2
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    • pp.123-151
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    • 2016
  • The purpose of this study is to analyze the existing studies about the effect on private tutoring and EBS broadcasting which is considered as the alternative which was presented by education authorities. And this study attempts to measure the degree of the effects of private tutoring and EBS engagement on mathematics achievement using various quantitative methodologies. T-test and OLS multiple regression indicates some selection-bias which has positive direction compared to the PSM method closed to experimental design. So, it will be required to consider the methodology which measures the exact effect of institution or participation when we conduct the observational studies.

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

  • Wye, Yong-Gon;No, Sang-Lim;Yoon, Ji-Son
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.2 no.2
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    • pp.41-49
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    • 2000
  • Rock Mass Rating has been widely applied to the underground tunnel excavation and many other practical problems in rock engineering. However, Rock Mass Rating is hard, even by the experts of tunnel assessment owing to lack of investigation system. In this study, using multivariate analysis we presented rock mass rating system that is objective and easy to use. The constituents of RMR are decided to RQD, condition of discontinuities, groundwater conditions, intact rock strength, orientation of discontinuities, spacing of discontinuities in important order. In each step, we proposed the best multiple regression model for RMR system.

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