• 한국식품조리과학회지
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• 제6권4호통권13호
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• pp.41-50
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• 1990

This study aimed to investigate the change in food balance and dietary patterns, caused by the growth of per capita GNP during $1962{\sim}1987$. For the purpose of this analysis, ordinary least square (OLS) was adopted. Per capita GNP was independent variable and the other factors dependent variables. The other factors included Engel coefficient, food supply, energy supply, nutrient intake and the ratio of self-supply of food. The result revealed that the some variables have (+) correlation, the some variables (-) correlation and the other variables no correlation with per capita GNP. If forecasting models are designed with these results, it will be helpful for national health and nutrition, food balance and disease prevention.

• Journal of Preventive Medicine and Public Health
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• 제24권1호
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• pp.29-36
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• 1991

A multiple regression analysis using ordinary least square (OLS) is frequently used for the projection of health expenditure as well as for the identification of factors affecting health care costs. Data for the analysis often have mixed characteristics of time series and cross section. Parameters as a result of OLS estimation, in this case, are no longer the best linear unbiased estimators (BLUE) because the data do not satisfy basic assumptions of regression analysis. The study theoretically examined statistical problems induced when OLS estimation was applied with the time series cross section data. Then both the OLS regression and time series cross section regression (TSCS regression) were applied to the same empirical da. Finally, the difference in parameters between the two estimations were explained through residual analysis.

• 한국식생활문화학회지
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• 제5권4호
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• pp.481-485
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• 1990

This study is designed to forecast the characteristics in food consumption patterns under per capita GNP growth. Ordinary least square(OLS)method was employed as analyzing technique. Equation was $Y=a_0+a_1X$, in which X was per capita GNP and Y were Engel coefficient, food supply, energy supply, nutrient intake and ratio of self-supply of food. The result obtained indicates that the intake of nutrient such as protein and fat will be increased, and wheat, corn and legume are expected to be imported wholly due to lower ratio of self-supply, and rice will be over-supplied continually. Therefore, the relevant policy of government must be established in the field of supply and demand of food, and the research of sound national health should be done.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제27권2호
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• pp.71-81
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• 2020

Multicollinearity is a common problem in linear regression models when two or more regressors are highly correlated, which yields some serious problems for the ordinary least square estimates of the parameters as well as model validation and interpretation. In this paper, first the problem of multicollinearity and its subsequent effects on the linear regression along with some important measures for detecting multicollinearity is reviewed, then the role of eigenvalues and eigenvectors in detecting multicollinearity are bolded. At the end a real data set is evaluated for which the fitted linear regression models is investigated for multicollinearity diagnostics.

• ETRI Journal
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• 제33권3호
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• pp.443-453
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• 2011

This paper evaluates the efficiency of mobile content firms through a hybrid approach combining data envelopment analysis (DEA) to analyze the relative efficiency and performance of firms and principal component analysis (PCA) to analyze data structures. We performed a DEA using the total amount of assets, operating costs, employees, and years in business as inputs, and revenue as output. We calculated fifteen combinations of DEA efficiency in the mobile content firms. We performed a PCA on the results of the fifteen DEA models, dividing the mobile content firms into those having either 'asset-oriented' or 'manpower and experience-oriented' efficiency. Discriminant analysis was used to validate the relationship between the efficiency models and mobile content types. This paper contributes toward the construction of a framework that combines the DEA and PCA approaches in mobile content firms for use in comprehensive measurements. Such a framework has the potential to present major factors of efficiency for sustainable management in mobile content firms and to aid in planning mobile content industry policies.

• 대한가정학회지
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• 제34권5호
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• pp.209-222
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• 1996

The purpose of this study is to apply ratio analysis, which indicates the rate of income to total expenditure, to examine wage-earners' overspending in Korea. We use the Family Income and Expenditure Survey produced by National Statistical Office Republic of Korea and total sample size is 40,691 including households complete income reported. Through the t-test, among 17 expenditure categories, overspenders is likely to spend more on housing, apparel, medical, education, and leisure expenditures more than non-overspenders significantly. Interestingly, overspenders have more income, but less financial assets than non-overspenders. To analyze the effect of socio-demographic variables on overspending, ordinary least square is utilized. The results shows that the more educated, larger family size, and older consumer tend to overspend. The results of study are leaded into two aspects. First, overspending can be solved by consumer education with efficient financial management practice. Second, overspending may be not solved unless policies in various ways enhance the overall quality of living to lessen each household's budget constraints.

• Communications for Statistical Applications and Methods
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• 제25권6호
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• pp.577-590
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• 2018

Employing the covariance adjustment technique, we show that in the system of two seemingly unrelated multivariate regressions the estimator of regression coefficients can be expressed as a matrix power series, and conclude that the matrix series only has a unique simpler form. In the case that the covariance matrix of the system is unknown, we define a two-stage estimator for the regression coefficients which is shown to be unique and unbiased. Numerical simulations are also presented to illustrate its superiority over the ordinary least square estimator. Also, as an example we apply our results to the seemingly unrelated growth curve models.

• 아태비즈니스연구
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• 제12권2호
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• pp.81-95
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• 2021

Purpose - The purpose of this paper is to examine the impact of holding period of IPOs on BHAR(CAR) of IPOs in IPO process, especially focused on business relationship of underwriters and institutional investors. Design/methodology/approach - This paper collected monthly IPO fund data in KOSDAQ during 2004 to 2012 and OLS(Ordinary Least Square) was hired to analyze the data. Findings - Underwriters do allocate IPOs with high BHAR(CAR) to business-related institutional investors holding IPOs longer to make the price of IPOs stable (market-making) for underewriters. Research implications or Originality - This paper finds the impact of holding period of IPOs on BHAR(CAR) of IPOs in IPO process, especially focused on business relationship of underwriters and institutional investors in Korea.

• 아태비즈니스연구
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• 제14권1호
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• pp.427-437
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• 2023

Purpose - The purpose of this research is to examine the impact of job satisfaction related attributes on the level of life satisfaction of individuals with disabilities. Job satisfaction related elements consist of wage level, job stability, working condition, career development, and communication. Design/methodology/approach - For the data collection, this research made use of The Korean Panel Survey of Employment for people with disabilities, with the study period consisting of 2016-2018, and the number of observations measuring 4405. For the data analysis, the ordinary least square, fixed effect, and random effect regression models were used. Findings - The results indicate that the life satisfaction of people with disabilities is positively influenced by wage satisfaction, job stability satisfaction, working condition satisfaction, career development satisfaction, and communication satisfaction. Research implications or Originality - This study informs policy makers for the design of welfare for people with disability, specifically related to their labor conditions.

• 한국전산구조공학회논문집
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• 제21권3호
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• pp.295-304
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• 2008

본 연구는 두 가지 주요 목적을 갖고 있다. 첫째는, 실험적 베리오그램을 작성하는데 필수적인 분리거리 허용한계를 얼마로 하느냐에 따라 변화되는 베리오그램 모델링에 기초를 둔 정규크리깅 보간법을 유한요소법에 적용이 가능한 가를 시험하는 것이다. 둘째는, 다항식모델, 가우스모델 및 구형모델의 선택에 따른 정확성을 조사하는 것이다. 이 목적을 위해 가우스 적분점에서 취득된 응력값 데이터로터 새로운 응력장을 예측하기 위해 가중-최소제곱법이 적용되었다. 여기서 가중치는 동일한 값을 사용하는 기존의 방식과 달리 응력값들의 보간을 위해 사용되는 실험적 및 이론적 베리오그램에 의해 결정된다. 제안된 접근방식의 타당성을 보이기 위해 2개의 수치예제를 테스트하였다. 이 논문에서 사용된 수치예제의 경우 25% 분리거리 허용한계를 사용한 가우스모델이 참고문헌의 이론 해들과 가장 잘 일치하는 것을 알 수 있었다.