• 제목/요약/키워드: Simple Regression Analysis

검색결과 911건 처리시간 0.03초

우리나라 하수도시설의 첨두부하율 영향요소 분석 (Analysis of Factors Affecting Peak Loading Coefficient of Sewer Works in Korea)

  • 현인환;이영호
    • 상하수도학회지
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    • 제25권6호
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    • pp.877-884
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    • 2011
  • Although peak loading coefficient is one of critical design factors for sewer works, its detailed affecting factors were not analyzed because of limited data availability. This study analyzed the affecting factors on peak loading coefficient with plenty data obtained from several newly constructed sewer works. Simple and multiple regression analysis methods were adopted to analyze the relationships of each variable with or without data filtering. Drainage population, drainage area, population density, and daily sewage flow per person showed very weak relationships under diverse characteristics of cities. However, daily sewage flow per person showed stronger relationships with peak loading when daily sewage flow per person was splitted into two ranges. Population density (i.e., drainage population divided by drainage area) and daily sewage flow per person considerably were related with peak loading coefficient when daily sewage flow per person is less than about 400 Lpcd.

긍정적 뉴스에 따른 주가변동 분석 (Analysis of stock price fluctuations due to positive news)

  • 신태현;백재순;김성진
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2024년도 제69차 동계학술대회논문집 32권1호
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    • pp.161-162
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    • 2024
  • 언젠가 한 번쯤 "뉴스에서 발생하는 소식들은 주가변동에 어떤 영향을 줄까?" 하고 궁금해 본 적이 있을 것이다. 본 논문에서는 이러한 궁금증을 해소하기 위해 뉴스기사에 따른 주식시장의 변동을 연구분석한 내용을 소개한다. 이를 위해 뉴스기사를 크롤링하고 자연어 처리 기술을 통해 긍정적 기사와 부정적 기사를 분류하고 해당 날짜의 주가변동 그래프를 분석하여 뉴스에서의 긍정적 요소와 부정적 요소가 주식시장에 얼마나 영향을 주는지 머신러닝 알고리즘을 통해 알아보았다.

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단순(單純) 회귀분석(回歸分析)을 이용한 정규성검정(正規性檢定) (A Normality Test by Using the Simple Regression Analysis)

  • 이창호;한왕수
    • 품질경영학회지
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    • 제13권1호
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    • pp.77-83
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    • 1985
  • 본(本) 연구(硏究)는 검사자료(檢査資料)가 정규분포(正規分布)에 따를 것인가를 결정하는 정규성검정(正規性檢定)을 다룬다. Lin과 Mudholkar(1980)에 의해 발표된 최근(最近)의 검정방법(檢定方法)은 "정규분포(正規分布)일 경우에 평균(平均)과 분산(分散)이 독립적(獨立的)으로 분포(分布)한다"는 성질(性質)을 이용하여 검정(檢定)을 수행하였다. 본(本) 연구(硏究)에서도 이러한 특성을 이용하여 단순회귀분석(單純回歸分析)에 의한 검정(檢定)을 시도한다. 이 검정방법(檢定方法)은 임의표본(任意標本)으로부터의 평균(平均)과 분산(分散)을 각각(各各) 단순회귀모형(單純回歸模型)의 독립변수(獨立變數)와 종속변수(從屬變數)로 고려한다. 만약 임의표본(任意標本)의 평균(平均)과 분산(分散)이 회귀관계(回歸關係)가 없다면 독립(獨立)인 것으로 간주하여 그 표본(標本)은 정규모집단(正規母集團)으로부터 추출(抽出)된 표본(標本)이라는 결론(結論)을 내려준다. 검출력(檢出力)을 비교할 목적으로 11종류(種類)의 대칭 비대칭분포(分布)에서 표본(標本)의 크기를 n=20, 30으로 하여 500개(個)의 표본(標本)들이 각각(各各) 모의실험(模疑實驗)에 사용되었으며 본(本) 연구(硏究)의 정규성검정(正規性檢定) 방법(方法)은 Monte-Carlo Simulation 방법(方法)을 이용하여 검출력(檢出力)을 계산함으로써 6개(個)의 다른 검정방법(檢定方法)들과 비교되었다. 정규분포(正規分布)일 경우에는 그 검출력(檢出力)이 다소 떨어지지만 다른 분포(分布)들에 있어서의 그 검출력(檢出力)은 현저하게 우수하다. 즉 단순회귀분석(單純回歸分析)에 의한 정규성검정(正規性檢定)이 다른 검정방법(檢定方法)들에 비해서 우수한 검출력(檢出力)을 가지는 것으로 나타났다.

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DITI로 관찰한 Bell's palsy에 미치는 수기요법의 영향에 관한 임상적 연구 (The Clinical study of Su-Gi therapy's Effects on Bell's palsy by observing of DITI)

  • 홍승철;안훈모;이재흥;하정아
    • 대한의료기공학회지
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    • 제15권1호
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    • pp.44-60
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    • 2015
  • Objective : The purpose of this study is to investigate the effect of Su-Gi therapy for Bell's palsy by using DITI. Methods : We investigated 16 patients with Bell's palsy who had visited in the H Korean medicine hospital in Gyeonggi Province from December 27th, 2010 to April 8th, 2015. The Su-Gi therapy was done by 1 times daily. We evaluated the change of them by using Digital Infrared Thermographic Imaging and Yanagihara's unweighted grading system. Results : There aren't meaningful differences in values for the meridian points in pretest and posttest which were observed by DITI of abnormal side and normal side. There are meaningful differences in values, for abnormal side and normal side of the meridian points in pretest and posttest of DITI. It was of significance that pretest Y and average ΔT of each the meridian points in the type of hyperthermia but not in the type of hypothermia. In the Correlation analysis of values of pretest and posttest, chaotic aspects of body heat distribution in the pretest change as a relatively consistent aspects in the posttest. It wasn't of significance that Correlation Analysis of Ups and downs in temperature of TE17 and Recovery speed observed by ΔY. In simple regression analysis of posttest's Y-system values against absolute ΔT by subtracting ΔTE17 from ΔST6, we didn't predict in the pretest, but could predict significantly in the posttest(Regression coefficient : -2.11) In the regression analysis result of the meridian points' ||pretest ΔT|-|posttest ΔT||, 陽白(GB14) and 頰車(ST6) are of significance (Total R-Square=0.447). But we couldn't obtain final regression analysis model. Conclusions: These results suggest that Su-Gi therapy may be effective for Bell's palsy.

An Analysis of Factors Relating to Agricultural Machinery Farm-Work Accidents Using Logistic Regression

  • Kim, Byounggap;Yum, Sunghyun;Kim, Yu-Yong;Yun, Namkyu;Shin, Seung-Yeoub;You, Seokcheol
    • Journal of Biosystems Engineering
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    • 제39권3호
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    • pp.151-157
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    • 2014
  • Purpose: In order to develop strategies to prevent farm-work accidents relating to agricultural machinery, influential factors were examined in this paper. The effects of these factors were quantified using logistic regression. Methods: Based on the results of a survey on farm-work accidents conducted by the National Academy of Agricultural Science, 21 tentative independent variables were selected. To apply these variables to regression, the presence of multicollinearity was examined by comparing correlation coefficients, checking the statistical significance of the coefficients in a simple linear regression model, and calculating the variance inflation factor. A logistic regression model and determination method of its goodness of fit was defined. Results: Among 21 independent variables, 13 variables were not collinear each other. The results of a logistic regression analysis using these variables showed that the model was significant and acceptable, with deviance of 714.053. Parameter estimation results showed that four variables (age, power tiller ownership, cognizance of the government's safety policy, and consciousness of safety) were significant. The logistic regression model predicted that the former two increased accident odds by 1.027 and 8.506 times, respectively, while the latter two decreased the odds by 0.243 and 0.545 times, respectively. Conclusions: Prevention strategies against factors causing an accident, such as the age of farmers and the use of a power tiller, are necessary. In addition, more efficient trainings to elevate the farmer's consciousness about safety must be provided.

회귀나무 모형을 이용한 패널데이터 분석 (Panel data analysis with regression trees)

  • 장영재
    • Journal of the Korean Data and Information Science Society
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    • 제25권6호
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    • pp.1253-1262
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    • 2014
  • 회귀나무 (regression tree)는 독립변수로 이루어진 공간을 재귀적으로 분할하고 해당 영역에서 종속변수의 최선의 예측값을 찾고자 하는 비모수적 방법론이다. 회귀나무 모형이 제안된 이래 로지스틱 회귀나무모형이나 분위수 회귀나무모형과 같이 유연하고 다양한 모형적합을 위한 연구가 진행되어 왔다. 최근에 들어서는 Sela와 Simonoff (2012)의 RE-EM 알고리즘, Loh와 Zheng (2013)의 GUIDE 등 패널데이터와 관련하여 진일보한 나무모형 알고리즘도 제안되었다. 본 논문에서는 각 알고리즘을 소개하고 특징을 살펴보는 한편, 실험 데이터를 생성하여 평균제곱오차 (mean squared error)를 바탕으로 예측력을 비교하였다. 분석결과, RE-EM 알고리즘의 예측력이 상대적으로 우수하게 나타났다. 이 알고리즘을 통해 기업경기실사지수 업종별 패널자료를 분석한 결과 최근의 업황에 가장 큰 영향을 미치는 요소는 매출 실적으로 나타났으며 매출 상위 그룹의 경우 비제조업이 제조업에 비해 업황에 대한 판단이 긍정적인 것으로 나타났다.

효과적인 식생복원을 위한 참나무류 군락 식재의 생장량에 관한 연구 (Growth Degree of Quercus Community Plantations for Effective Vegetation Restoration)

  • 김미진;조은숙;정희정;조동길
    • 한국환경과학회지
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    • 제32권3호
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    • pp.161-171
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    • 2023
  • The present study evaluated growth factors affecting oak community plantations through literature review and a field survey. Specifically, 41 related literature sources were analyzed and field surveys were conducted to collect growth data. Previous studies were analyzed to identify variables with high frequency of use. The frequency of use was in the order of tree size > environment > planting density > forest age. Analysis of factors impacting height and diameter growth revealed that the growth rate of species other than Quercus variabilis was negative in the field survey. This may be because of differences between the actual trees planted and specifications in the construction drawings, which may be attributed to the site conditions and decisions made by the project subject during construction. Furthermore, simple linear regression analysis was conducted with time, height at planting, density, and species code as the independent variables and growth rate as the dependent variable. A strong positive linear correlation was noted between height and diameter. This work builds a foundation for developing a forest restoration model and simulation program based on a regression model derived from the four variables tested.

KSR-III 로켓엔진 최적성능 분석 (Optimum Performance Analysis of KSR-III LRE)

  • 하성업;문윤완;류철성;한상엽
    • 한국항공우주학회지
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    • 제32권4호
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    • pp.80-87
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    • 2004
  • KSR-III 비행용 액체추진제 로켓엔진의 각 성능 변수 간 상관관계를 파악하기 위하여, 엔 진 지상연소시험의 결과에 대한 분석이 수행되었다. 내열재 연소실의 삭마에 따른 변화를 고려하였으며, 산화제/연료비에 의한 변화를 무시한 선형 회귀분석과 이를 포함한 이변수 이차 회귀분석이 수행되었다. 선형 회귀분석은 간단하면서도 분석영역 내에서 1% 이내의 오차율을 가지는 매우 실용적인 방법임을 보여주었다. 또한 이변수 이차 회귀분석 결과는 분석영역 내에서 매우 높은 정확도의 예측이 가능하였으며, KSR-III 엔진의 추력 (혹은 비추력) 및 연소실 압력 (혹은 특성속도)에 대한 최적 산화제/연료비가 각각 2.22 와 2.17 인 것으로 분석되었다.

치과위생사의 자기효능감과 직무만족이 조직몰입과 이직의도에 미치는 영향 (The effect of self-efficacy and job satisfaction of Dental Hygienists' on the organizational commitment and turnover intention)

  • 김혜영;최정옥;성미경
    • 한국치위생학회지
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    • 제12권1호
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    • pp.213-223
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    • 2012
  • Objectives : The purpose of this study is to identify relationships between turnover intention and variable factors among dental hygienists. Methods : Each factor of validity and reliability were investigated using factor analysis and Cronbach's ${\alpha}$. The hypothesis of the data was proven and analyzed using the pearson correlation, regression analysis, and analysis of variance (ANOVA). Results : The independent variables were based on self-efficacy, the dependent variables were based on job satisfaction. The results of the regression analysis were that self-efficacy is as high as job satisfaction. Independent variables based on self-efficacy and job satisfaction. The dependent variable is organizational commitment multiple regression analysis was used. The results showed that self-efficacy and job satisfaction are as high as organizational commitment. Independent variables based on organizational commitment. The dependent variable is the turnover-intention. Simple regression analysis showed that organizational commitment is as low as turnover-intention. Self-efficacy, job satisfaction and organizational commitment are different depending on individual traits and personal characteristics. Self-efficacy has been shown to have a positive relationship with job experiences, public work and turnover intention. Organizational commitment is also related with job experiences. However, there was no significant difference between job satisfaction, turnover intention and personal characteristics. Conclusions : According to the factor analysis of turnover intention, self-efficacy, job satisfaction, organizational commitment and turnover intention were correlated to each other. Self-efficacy, job satisfaction, and organizational commitment has a negative association with turnover intention.

벌점회귀를 통한 상대오차 예측방법 (Relative Error Prediction via Penalized Regression)

  • 정석오;이서은;신기일
    • 응용통계연구
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    • 제28권6호
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    • pp.1103-1111
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    • 2015
  • 본 논문에서는 상대오차의 개념과 벌점회귀를 결합한 새로운 예측방법을 제시하였다. 제안된 방법은 오차항의 분포가 정규성을 크게 벗어나 있어 이상점을 포함하거나 오차항의 분포가 심각하게 비대칭인 경우에도 안정적으로 예측력이 유지할 뿐 아니라 벌점회귀를 통한 변수선택의 성능도 우수하다. 또한 개념적으로 쉽고, 계산 속도가 빠르며, 기존의 알고리즘을 활용해 구현하는 것이 매우 쉽다. 한국교통연구원의 일일 차량통행량 자료 실제 분석 및 모의실험을 통해 제안된 방법의 우수한 성질을 확인하였다.