• Title/Summary/Keyword: dummy variable

검색결과 143건 처리시간 0.023초

더미변수(Dummy Variable)를 포함하는 다변수 시계열 모델을 이용한 단기부하예측 (Short-Term Load Forecasting Using Multiple Time-Series Model Including Dummy Variables)

  • 이경훈;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제52권8호
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    • pp.450-456
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    • 2003
  • This paper proposes a multiple time-series model with dummy variables for one-hour ahead load forecasting. We used 11 dummy variables that were classified by day characteristics such as day of the week, holiday, and special holiday. Also, model specification and selection of input variables including dummy variables were made by test statistics such as AIC(Akaike Information Criterion) and t-test statistics of each coefficient. OLS (Ordinary Least Squares) method was used for estimation and forecasting. We found out that model specifications for each hour are not identical usually at 30% of optimal significance level, and dummy variables reduce the forecasting error if they are classified properly. The proposed model has much more accurate estimates in forecasting with less MAPE (Mean Absolute Percentage Error).

엑셀 VBA을 이용한 가변수 회귀모형 교육도구 개발 (An educational tool for regression models with dummy variables using Excel VBA)

  • 최현석;박철용
    • Journal of the Korean Data and Information Science Society
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    • 제24권3호
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    • pp.593-601
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    • 2013
  • 회귀모형에서 범주형 변수를 독립변수로 포함시켜야 할 경우가 발생한다. 회귀모형의 범주형 변수는 가변수를 통해 수량화된다. 이 연구에서는 하나의 양적 독립변수와 하나 혹은 두 개의 범주형 독립변수를 가지는 회귀모형에 대해 가설검정 결과와 함께 회귀직선을 보여주는 교육용 도구를 엑셀 VBA (Visual Basic for application)를 통해서 구현한다. 가설검정 결과와 회귀직선은 교호작용이 포함된 모형, 교호작용이 없는 모형 및 가변수가 없는 모형에 대해 단계별로 제공된다. 이 교육도구를 통해 가변수와 교호작용의 의미를 더 쉽게 이해할 수 있으며, 나아가 어떤 모형이 주어진 자료에 가장 적합한지 그림을 통해 판단할 수 있게 된다.

안정동력학에 의한 가변수요 통행배정모형 (A Variable Demand Traffic Assignment Model Based on Stable Dynamics)

  • 박구현
    • 한국경영과학회지
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    • 제34권1호
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    • pp.61-83
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    • 2009
  • This study developed a variable demand traffic assignment model by stable dynamics. Stable dynamics, suggested by Nesterov and do Palma[19], is a new model which describes and provides a stable state of congestion in urban transportation networks. In comparison with the user equilibrium model, which is based on the arc travel time function in analyzing transportation networks, stable dynamics requires few parameters and is coincident with intuitions and observations on congestion. It is therefore expected to be a useful analysis tool for transportation planners. In this study, we generalize the stable dynamics into the model with variable demands. We suggest a three stage optimization model. In the first stage, we introduce critical travel times and dummy links and determine variable demands and link flows by applying an optimization problem to an extended network with the dummy links. Then we determine link travel times and path flows in the following stages. We present a numerical example of the application of the model to a given network.

종합병원의 전문의 수가 경영성과에 미치는 영향 (The Causality between the Number of Medical Specialists and the Managerial Performance in General Hospitals)

  • 류정걸
    • 한국병원경영학회지
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    • 제13권4호
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    • pp.1-26
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    • 2008
  • This study examines the statistical relationship between medical specialists and managerial performance, using regression analysis with the number of medical specialists per 100 beds as the independent variable and the managerial performance index as the dependent variable. Managerial performance index incorporated the number of out-patients per specialist, the number of in-patients per specialist, the volume of revenue per specialist, the number of beds per specialist, and the average length of stay. To compare different groups of hospitals, dummy variable was applied to five groups of hospitals according to size: 100-299 beds, 300-599 beds, 600-899 beds, 900-1199 beds, and more than 1200 beds. The data consisted of 181 general hospitals with more than 100 beds, which included 28 public hospitals, 73 corporate hospitals, 64 university hospitals and 16 private hospitals. Of those, 87 hospitals were located in big cities and 94 hospitals in medium to small cities. This study used hospitals from the Korean Hospital Association, and data published in 2004. The collected data sample was analyzed using the SPSSWIN 12.0 version, and the study hypothesis was tested using regression analysis. The findings of this study are summarized as follows: Hypothesis 1 predicting a negative effect of the number of medical specialists on the number of out-patients per specialist was supported with statistical significance. The analysis of dummy variable showed causality in all the hospital groups larger than the group of 100-299 beds. Hypothesis 2 predicting a negative effect of the number of medical specialists on the number of in-patients per specialist was supported with statistical significance. The analysis of dummy variable showed causality in the hospital group of 300-599 beds when compared to the group of 100-299 beds. Hypothesis 3 predicting a negative effect of the number of medical specialists on the volume of revenue per specialist was not supported. However, the analysis of dummy variable showed that the volume of revenue per specialist increased in the hospital groups of 600-899 beds, 900-1199 beds, and over 1200 beds, when compared to the group of 100-299 beds. Hypothesis 4 predicting a negative effect of the number of medical specialists on the average length of stay was supported with statistical significance. The analysis of dummy variable showed causality in the hospital group of 300-599 beds, when compared to the group of 100-299 beds. Results of this study show that the number of the medical specialists per 100 beds is an important factor in hospital managerial performance. Most hospitals have tried to retain as many medical specialists as possible to keep the number of patients stable, to ensure adequate revenue, and to maintain efficient managerial performance. Especially, the big hospitals with greater number of beds and medical specialists have shown greater revenue per medical specialist despite the smaller number of patients per medical specialist. Findings of this study explains why hospitals in Korea are getting bigger.

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Development of the Plywood Demand Prediction Model

  • Kim, Dong-Jun
    • 한국산림과학회지
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    • 제97권2호
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    • pp.140-143
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    • 2008
  • This study compared the plywood demand prediction accuracy of econometric and vector autoregressive models using Korean data. The econometric model of plywood demand was specified with three explanatory variables; own price, construction permit area, dummy. The vector autoregressive model was specified with lagged endogenous variable, own price, construction permit area and dummy. The dummy variable reflected the abrupt decrease in plywood consumption in the late 1990's. The prediction accuracy was estimated on the basis of Residual Mean Squared Error, Mean Absolute Percentage Error and Theil's Inequality Coefficient. The results showed that the plywood demand prediction can be performed more accurately by econometric model than by vector autoregressive model.

일부 지역 청소년의 인터넷 중독에 영향을 미치는 요인 (Factors Influencing Internet Addiction among Adolescents in an Area)

  • 신승배;이주열;김석환
    • 한국학교ㆍ지역보건교육학회지
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    • 제12권1호
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    • pp.45-58
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    • 2011
  • Objectives: The purpose of this study is to analyze the fators affecting Internet addiction among adolescents in an area. Methods: By using cluster sampling, 2,479 participants representing 22 elementary school, 11 middle school, 7 high school students in a county of the Chungcheongnam-do. Data was analyzed by SPSS 12.0. using t-test, F-test, chi-square test, Pearson correlation coefficient and multiple regression. Results: Internet addiction positively correlated with high school students(dummy variable), Internet-connected computers in PC Game Room(dummy variable), Internet using time(weekday) and Internet using time(weekend). Internet addiction negatively correlated with Internet-connected computers in school(dummy variable), Internet-connected computers in friend's house(dummy variable). For the male students, Significant factors affecting Internet addiction were eating habits, Internet-connected computers in friend's house, Internet using time(weekend). For the female students, Internet using time(weekday) and Internet using time(weekend) were significant. For the elementary school students, Significant factors affecting Internet addiction were Internet using tine(weekday) and Internet using time(weekend). In the case of the middle school students, Internet using tine(weekday), Internet using time(weekend) and eating habits were significant. but, the high school students, Internet using time(weekend) was significant. Conclusions: Students who spend more time in the internet have higher tendency to become addicted to the internet. Therefore, it would be necessary to develop program to prevent internet addiction.

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Evaluating Geographic Differences in Electricity Burdens: An Analysis of Socioeconomic and Housing Characteristics in Erie County, New York

  • Nolan W. Kukla
    • Asian Journal of Innovation and Policy
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    • 제12권1호
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    • pp.101-130
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    • 2023
  • The increasing cost, and demand for, household energy has increased attention to the phenomena of energy burdens. Despite this increased attention, a lack of consensus remains in pinpointing the strongest predictors, and geographic differences, that exist within the energy ecosystem. This study addresses this gap by utilizing a series of dummy variable regressions across cities, suburbs, and rural areas within Erie County, New York-a county noted to have particularly high energy burdens. Specifically, three types of predictor sets were incorporated into the methodology: a set of socioeconomic variables, physical variables, and a combination of both variable sets. The results of this study suggest that cities tend to have the highest electricity burdens. Despite the aging infrastructure in Erie County, high energy burdens were driven primarily by socioeconomic factors such as housing cost burden and poverty status. Lastly, this study explores various planning and policy implications Erie County can utilize to reduce energy burdens. In turn, this study highlights the importance of focusing policy efforts on existing social service programs to provide support to the region's neediest households.

전자부품 검사에서 대용특성을 이용한 사례연구 (A Case Study on Electronic Part Inspection Based on Screening Variables)

  • 이종설;윤원영
    • 품질경영학회지
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    • 제29권3호
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    • pp.124-137
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    • 2001
  • In general, it is very efficient and effective to use screening variables that are correlated with the performance variable in case that measuring the performance variable is impossible (destructive) or expensive. The general methodology for searching surrogate variables is regression analysis. This paper considers the inspection problem in CRT (Cathode Ray Tube) production line, in which the performance variable (dependent variable) is binary type and screening variables are continuous. The general regression with dummy variable, discriminant analysis and binary logistic regression are considered. The cost model is also formulated to determine economically inspection procedure with screening variables.

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일부 청소년들의 스트레스에 미치는 영향 요인 (Factors Influencing Stress among Adolescents)

  • 신승배;이주열
    • 한국학교ㆍ지역보건교육학회지
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    • 제12권2호
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    • pp.81-96
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    • 2011
  • Objectives: This study was to examine the factors affecting Stress among adolescents in an area. Methods: Data collection was conducted by self-report survey. Survey participants were 1,255 from 11 middle and 7 high school students in a county of the Chungcheongnam-do, who were selected by the cluster sampling from May 2011. The Structural Equation Modeling was employed to investigate the research Model. Results: Tobacco errands variable was found to have a negative casual effect on self-efficacy factor and male dummy variable had a significant positive casual effect on self-efficacy. Self-efficacy had a significant negative casual effect on stress, smoke dummy variable had a statistically significant negative effect on stress and friends who smoke variable were found to have a positive casual effect on stress. Conclusions: In results, it was confirmd that the adolescents experienced more study related stress than other kinds of stress. Second, it was found out that every kind of stress are relevant to emotional problems and the behaviroral problems.

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장기모수의 구조변화와 안정성 (Structural Change and Stability in a Long-Run Parameter)

  • 김태호
    • Communications for Statistical Applications and Methods
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    • 제18권4호
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    • pp.495-505
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    • 2011
  • 본 연구에서는 표본의 일부를 단계적으로 증가시켜 가며 반복적으로 추정된 장기모수의 시간경로를 파악하는 방식으로 변수들 간 장기균형관계의 안정성에 대해 통계적으로 검정해 보았다. 안정성 귀무가설이 기각되는 구간에는 더미변수를 사용해 전체 연구기간에 걸쳐 안정성을 회복시키고 타당한 공적분관계를 도출해 보았으며, 오차수정항에 대한 분석결과는 더미변수가 공적분관계의 구조변화를 반영하는 것으로 나타났다.