• 제목/요약/키워드: Dummy Regression Analysis

검색결과 101건 처리시간 0.026초

더미(dummy) 변수를 활용한 다중인자 차원 축소(MDR) 방법 (Multifactor Dimensionality Reduction(MDR) Analysis by Dummy Variables)

  • 이제영;이호근
    • 응용통계연구
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    • 제22권2호
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    • pp.435-442
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    • 2009
  • 통계모형의 상호작용 효과를 분석하기 위해 비모수적인 방법인 다중인자 차원 축소(MDR) 방법을 사용해왔다. MDR 방법은 사례-대조 데이터에만 적용 할 수 있다. 본 논문에서는 연속형 데이터에도 적용 할 수 있는 더미(dummy) 변수를 활용한 MDR방법을 소개한다. 아울러 이를 통해 한우의 주요 경제형질인 등심단면적 (longissimus muscle dorsi area: LMA), 도체중(carcass cold weight: CWT), 일당증체량(average daily gain: ADC)에 영향을 주는 우수 유전자 단일염기다형성(SNP)을 규명한다.

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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다양한 민두 개발을 위한 민두 인지도에 관한 연구 (A Study on the perception of Hairless Head dummy for Development of Various Hair Design)

  • 이진희;김상은
    • 한국생활과학회지
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    • 제15권4호
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    • pp.623-630
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    • 2006
  • The purpose of this study is to do research hairdressers' knowledge of hairless head dummy's brand name, and to suggest and develop various hairless head dummy for the students who are learning hair styling in the colleges and the academies, for the hairdressers working in the beauty salons. Using only one and same kind of hairless head model is not appropriate for hairdressers and students being trained hair styling skill, because people have a variety of head shapes. Three hundred twenty nine persons who live in Iksan area are selected as subjects. The results of the study are as follow: by the analysis of subjects' knowledge of hairless head dummy's brand name, most of them didn't know it exactly. This study deduced that there is a significant relation between the utility of hairless head dummy and subjects' intention of purchasing the dummy. To put it in detail, in case of college students, there is little significant difference between them. But in case of academy students, there is. By the regression analysis, especially, in case of hairdressers working in beauty salons and academy students, four conditions did significantly matter in their purchasing the dummy: first, whether the respondents owns it, second, whether it is helpful to themselves, third, whether they have ever used foreign products and, finally, whether they have intention to purchase various hairless head dummys or not. In conclusion, it depended on each group position whether their knowledge of brand names of hairless head model affects their purchase of the dummy or not.

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수평형 지중 열교환기 시스템의 시공비 및 영향인자 분석 (Analysis of Construction Cost and Influence Factors on Horizontal Ground Heat Exchangers)

  • 윤석;이승래
    • 신재생에너지
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    • 제10권3호
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    • pp.6-13
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    • 2014
  • This paper presents a computational study of thermal performance and construction cost of horizontal ground heat exchangers (GHEs). GLD (ground loop design) simulations of various type of GHEs were carried out. Construction costs were also calculated based on standard estimating, and compared with vertical type GHE system. Besides that, dummy regression analysis was conducted to study the influence of design parameters on the simulation results in horizontal ground heat exchanger system.

Price Monitoring Automation with Marketing Forecasting Methods

  • Oksana Penkova;Oleksandr Zakharchuk;Ivan Blahun;Alina Berher;Veronika Nechytailo;Andrii Kharenko
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.37-46
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    • 2023
  • The main aim of the article is to solve the problem of automating price monitoring using marketing forecasting methods and Excel functionality under martial law. The study used the method of algorithms, trend analysis, correlation and regression analysis, ANOVA, extrapolation, index method, etc. The importance of monitoring consumer price developments in market pricing at the macro and micro levels is proved. The introduction of a Dummy variable to account for the influence of martial law in market pricing is proposed, both in linear multiple regression modelling and in forecasting the components of the Consumer Price Index. Experimentally, the high reliability of forecasting based on a five-factor linear regression model with a Dummy variable was proved in comparison with a linear trend equation and a four-factor linear regression model. Pessimistic, realistic and optimistic scenarios were developed for forecasting the Consumer Price Index for the situation of the end of the Russian-Ukrainian war until the end of 2023 and separately until the end of 2024.

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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Effects of Recognition of the Pregnancy necessity on Emotional Happiness -The mediation effect of health control behavior-

  • Kim, Jung-Ae
    • International Journal of Advanced Culture Technology
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    • 제6권3호
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    • pp.12-21
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    • 2018
  • This study was a cross-sectional survey of the effects of pregnancy necessity recognition on emotional happiness and mediation effect of health control behavior on it. A total of 200 participants in the study were collected from structured questionnaire online and the data collection was from July $1^{st}$ to July $31^{st}$, 2018. Health control behavior questionnaire was developed by Wallston, K.A., Wallston, B.S. & Devellis, R (1978), Emotional happiness was analyzed by using PANAS (positive and negative affect schedule) developed by Watson, Clark and Tellegen (1988). The collected data were chai-square($X^2$), Pearson correlation, Dummy regression analysis, simple regression analysis, and the mediated effect analysis by SPSS 18.0. As a result, Under statistical significance, there were differences in the recognition of pregnancy necessity were depending on religion, participant's age, number of siblings, thought of optimal marriage age(p<0.05). More siblings, more religious, older age, and more recognized the pregnancy necessity. The analysis of Pearson correlation with the pregnancy necessity, health control behavior, and emotional happiness reveled that it was relevant (p<0.01). Dummy regression analysis showed that people who thought that pregnancy was necessary were 0.700 times more likely to felt emotional happiness that people who thought it was unnecessary (p<0.01). Analysis on the mediation of health control behavior, in which the effects of pregnancy recognition on emotional happiness, showed that it was effect (other people's health control behavior: B:.299, p<0.01, internal health control behavior : B:.217, p<0.05). Based on these results, this study suggested that to promote pregnancy recognition, families with brother and sister should be programmed with recommendations for exercise and alcohol abstinence, religious belief and health control programs.

정성변수를 고려한 공공아파트 기획단계 공사비 예측모델 (Cost Prediction Model using Qualitative Variables focused on Planning Phase for Public Multi-Housing Projects)

  • 지성민;현창택;문현석
    • 한국건설관리학회논문집
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    • 제13권2호
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    • pp.91-101
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    • 2012
  • 공공아파트 프로젝트의 기획단계에서 수행되는 적정 공사비 예측은 기획부터 유지관리까지 전(全) 단계에 걸쳐서 영향을 미치게 되므로 명확한 예측기준 및 방법이 제시되어야 한다. 그러나 현재까지 다양한 다중회귀모델을 활용한 공사비 예측 방법이 개발되어 왔으나, 정성변수를 포함하여 공사비를 예측하는 방법에 대한 연구는 부족한 상황이다. 따라서 본 연구에서는 기획단계 활용을 위한 정성변수를 포함하는 공사비 예측모델을 개발하고자 하였다. 이를 위하여 공사비 영향요인을 분석 및 추출하고, 회귀분석을 위한 독립변수를 선정하였다. 그리고 정성변수를 포함하는 공사비 예측모델을 개발하며 사례적용을 통한 검증을 실시하였다. 개발된 공사비 예측모델과 "RESAMPLING 기법"을 사용하여 구조형식별 공사비 가산비율을 제시하였다. 본 연구에서 제시한 더미회귀모델과 가산비율을 활용하면, 일반적인 공사비 예측과 함께 동일한 평형, 세대수, 연면적에서 평면형식과 구조형식을 변경시켰을 때의 공사비 예측이 가능할 것으로 기대된다.

감성평가를 위한 한국인 인체모텔의 동적 해석 (Dynamic Analysis of Korean Dummy Models for Sensibility Ergonomic Evaluation)

  • 김성진;손권;최경현
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2002년도 춘계학술대회 논문집
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    • pp.234-239
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    • 2002
  • 한국인 인체모델은 동적 환경에서 정면 및 측면 충돌에 대한 지체의 가속도를 얻을 수 있도록 개발되었다. 우선 GEBOD에 입력하기 위한 32개의 한국인 인체치수를 선별하고, 15개의 지체를 가진 한국인 인체모델을 구성한다. 손 동작의 감성평가에 이용하기 위해 손을 독립된 지체로 분리한 17개 지체의 인체모델을 완성한다. MADYMO를 통한 정면충돌 테스트에서는 Hybrid III에 비해 한국인의 머리와 흉부 가속도가 비교적 높게 나왔고, 측면충돌 테스트에서 흉추 1번의 가속도는 ISO에서 요구하는 범위의 상한값을 조금 벗어나는 결과를 얻었다.

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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.