• 복식
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• 제54권3호
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• pp.73-85
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• 2004

The purpose of this study was to investigate the characteristic and sensibility of Japanism fashion designs which represented by Japanese designers and Western designers. The stimulus were 29 pictures of contemporary fashion designs which represented the Japanism style fashion designs from fashion collections. The data were analyzed by Cluster analysis, Factor analysis, Multidimensional Scaling Method and Regression Analysis. The specific objectives were as follows ; 1) As result of design analysis, Japanism fashion sensibility is unique and good-looking. 2) As result of the factor analysis. 4 factors which are Attractiveness, Attention, Maturity and Hardness and softness. 3) According to sensibility positioning, The Japanism fashion design was classified by Decorative-Simple, Hard-Soft. 4) As result of the Regression Analysis, The preference of Japanism fashion design was related to attractive factor. 5) As result of the Regression Analysis. The buying desirable of Japanism fashion design was related to attractive, attentive and mature factor.

• Communications for Statistical Applications and Methods
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• 제8권3호
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• pp.581-588
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• 2001

The $ED_{100p}$ is that value of the dose associated with 100p% response rate in the analysis of quantal response data. Brand, Pinnock, and Jackson (1973) studied the confidence bands of $ED_{100p}$ obtained by solving extremal values algebraically on the ellipsoid confidence region of the parameters in the simple logistic regression model. In this paper, we develope and illustrate a simpler method for obtaining confidence bands for $ED_{100p}$ based on the rectangular confidence region of parameters.

• 보건행정학회지
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• 제1권1호
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• pp.19-26
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• 1991

Demographic variables have a great deal of impact on the utilization of health services. In this paper, the use of segmented polinomials is shown to be superior to the simple use of dummy variables and simple polinomials in explaining differences in health care utilization with respect to sex and age differences.

• Computers and Concrete
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• 제5권5호
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• pp.449-459
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• 2008

This paper focuses on the application of two dimensional orthogonal polynomials in the regression analysis for the relationship of product parameters viz. compressive strength, bulk density and water absorption of fly ash cement bricks with other process parameters such as percentages of fly ash, sand and cement. The method has been validated by linear and non-linear two parameter regression models. The use of two dimensional orthogonal system makes the analysis computationally efficient, simple and straight forward. Corresponding co-efficient of determination and F-test are also reported to show the efficacy and reliability of the relationships. By applying the evolved relationships, the product parameters of fly ash cement bricks may be approximated for the use in construction sectors.

• Wind and Structures
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• 제29권2호
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• pp.129-137
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• 2019

The maximum along-wind displacement of a considerable amount of building under simulated wind loads is computed with the aim to produce a simple prediction model using multiple regression analysis with variables transformation. The Shinozuka and Newmark methods are used to simulate the turbulent wind and to calculate the dynamic response, respectively. In order to evaluate the prediction performance of the regression model with longer degree of determination, two complex structural models were analyzed dynamically. In addition, the prediction model proposed is used to estimate and compare the maximum response of two test buildings studied with wind loads by other authors. Finally, it was proved that the prediction model is reliable to estimate the maximum displacements of structures subjected to the wind loads.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2000년도 추계학술발표회 논문집
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• pp.187-191
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• 2000

In the analysis of repeated measurements, multivariate regression models that account for the correlations among the observations from the same subject are widely used. Like the usual univariate regression models, these multivariate regression models also need some model diagnostic procedures. In this paper, we propose a simple graphical method to detect outliers and to investigate the goodness of model fit in repeated measures data. The graphical method is based on the quantile-quantile(Q-Q) plots of the $X^2$ distribution and the standard normal distribution. We also propose diagnostic measures to detect influential observations. The proposed method is illustrated using two examples.

• 농촌지도와개발
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• 제18권3호
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• pp.409-434
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• 2011

The main purpose of this study was to examine the effects of servicescape on post evaluation of hospitality industry in Gyeongnam. Customers of deluxe hotels in Gyeongnam were selected for a questionnaire survey. To achieve the study objective, 253 valid questionnaires were statistically analyzed, using frequency analysis, factor, reliability analysis and regression analysis. The results of the multiple regression analysis indicated that five of servicescape factors had significant impact on customer satisfaction and customer retention. The servicescape factors partially exerted a positive influence on word-of-mouth intention. The result of the simple regression analysis also indicated that the customer satisfaction had very significant impact on customer retention and word-of-mouth intention.

• Communications for Statistical Applications and Methods
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• 제26권6호
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• pp.539-556
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• 2019

This paper derive a method to solve change point regression problems via a process for obtaining consequential results using properties of a difference-based intercept estimator first introduced by Park and Kim (Communications in Statistics - Theory Methods, 2019) for outlier detection in multiple linear regression models. We describe the statistical properties of the difference-based regression model in a piecewise simple linear regression model and then propose an efficient algorithm for change point detection. We illustrate the merits of our proposed method in the light of comparison with several existing methods under simulation studies and real data analysis. This methodology is quite valuable, "no matter what regression lines" and "no matter what the number of change points".

• 한국토양비료학회지
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• 제31권4호
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• pp.359-367
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• 1998

미국 Pennsylvania주 옥수수 재배 토양의 질소공급능력을 1986년부터 3년간 수행되었던 47개 토양의 화학성 및 정밀 토양도 속성들과의 회귀분석으로 평가 비교하였다. 질소공급능력과 가장 밀접한 상관을 보인 화학성은 $NO_3-N$ 함량($R^2=0.518$)이었으나 질소공급능력에 대한 표준화 편회귀계수는 년차간 변이를 보이며 0.578로 다른 성질들과 큰 차이를 보이지 않았다. 질소공급능력에 대한 다중선형 회귀분석은 단순 회귀분석에 비하여 양호한 평가를 보였으며 화학성들에 의한 결정계수는 $R^2=0.599$, 화학성과 Ap층 깊이의 정량적 지표들에 의한 계수는 $R^2=0.698$, 정량적 지표들과 정성적 지표들에 의한 계수는 $R^2=0.839$로 증가되었다. 이는 다중선형 회귀모델식이 단순 회귀모델식보다 토양의 질소공급능력을 보다 신뢰성 있게 평가할 수 있는 접근방법임을 보여주었다.

• 물과 미래
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• 제6권2호
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• pp.6-11
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• 1973

This paper include the hydrometeorological analyses of evapotranspiration which is import factor concerning the estimate of water budgest over a certain basin. Evapotranspiration model mode by the multiple regression analysis between the evapotranspiration measured on various kinds of ground cover (water, bare soil and lawn) and the other meteorological elements affecting the evapotranspiration process, and the simple regression analysis between the evapo transpiration measured on each ground cover and the evapotranspiration on water and vegetables calculated from the Penman equation. It is expected that the evapotranspiration models are a very useful formulae estimating ten days amounts or a month's amounts.