• 한국의류학회지
• /
• 제21권7호
• /
• pp.1227-1235
• /
• 1997

The purpose of this study was to classify the somatotype based on the side view and to analyze the characteristics of each somatotype. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The subjects were 206 unmarried women aged from 19-29. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and analysis of variance. As the result of factor analysis for the classification of somatotypes, 8 factors which explain 74.7% of variance were extracted from 35 photometric and 17 anthrometric data. Using factor scores cluster analysis was carried out and the subjects were classified into 4 cluster.Each cluster was classified as bending type, swayback, turning over type and straight type accordding to its position to the relativeplumb line and their side view contour.

• Journal of the Korean Data and Information Science Society
• /
• 제16권4호
• /
• pp.1119-1128
• /
• 2005

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor and the fractional Bayes factor have been used to overcome this problem. In this paper, we suggest a Bayesian hypothesis testing based on the intrinsic Bayes factor and the fractional Bayes factor for the comparison of two lognormal variances. Using the proposed two Bayes factors, we demonstrate our results with some examples.

• 한국산림과학회지
• /
• 제98권6호
• /
• pp.639-645
• /
• 2009

이 연구는 우리나라의 산악형 산림지대의 지형을 분류하기 위한 방안으로 TPI를 응용하기 위해 수행되었다. 이 방법을 적용하기 위해서는 지형특성에 적합한 기초분석단위로 scale factor들이 요구된다. 따라서 본 연구에서는 scale factor를 결정하기 위한 객관적으로 결정하기 위한 방안을 제시하였다. 즉, 산지의 기복 패턴를 반영하기 위한 scale factor를 결정하기 위해 음영기복도를 이용하여 제작된 지형성장곡선으로부터 기울기변화도 곡선을 작성하였다. 기울기변화도 곡선을 이용하여 기복의 변화량이 최대가 되는 지점을 찾고, 그 극대점에서의 grid 크기를 찾아 지형 분류를 위한 scale factor로 결정하였다. scale factor 결정 알고리즘의 적용성을 검토하기 위하여 지형특성이 다른 3곳의 산악지대에 대한 scale factor를 도출하고, 지형분류를 수행하였다. 이 방법에 따른 연구결과 scale factor는 지형기복이 심할수록 짧아지는 경향이 있음을 보여주었다. 또한 TPI를 이용하여 분류한 능선과 계곡의 수가 종단면도를 이용한 방법과 유사하게 나타났고, scale factor의 크기가 대상지역의 능선 간 평균거리와 일치하는 경향이 있음을 보여주었다.

• 한국식품조리과학회지
• /
• 제20권4호
• /
• pp.371-379
• /
• 2004

The purpose of this study was to identify factors associated with high satisfaction with foodservices in family restaurant. Accordingly, this study surveyed questionnaire concerning 20 measures of foodservice as well as major subject descriptors. The result of this study were as follows. KMO and Bartlett's test statistics showed that the data fitted factor analysis well. Results of factor analysis, average variance extracted estimates and shared variance showed that the convergent and discriminant validitys of 3 factors are supported, and cronbach's alpha showed that the internal consistency of 3 factors is supported. It was found that expensive groups, except gender groups and frequency of purchase groups, were differentially associated with high levels of overall satisfaction with foodservices. Multivariate analyses showed that satisfaction with service factor was the best predictor of overall satisfaction, followed by facilities factor. Three factors emerged from the logistic regression analysis as predictors of level of overall satisfaction. Overall, approximately 77% of university students could be correctly classified as being satisfied or unsatisfied. Finally, the results of the study provide some insights into the market-oriented types of foodservice marketing strategies or tactics to enable family restaurant to effectively manage and more competitive.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권11호
• /
• pp.1-10
• /
• 2021

This paper compares the performance of Fama-French three-factor and five-factor models using a dataset of 20 Pakistani commercial banks for the period 2011 to 2020. We focus on an emerging economy as the findings from earlier studies on developed countries cannot be generalized in emerging markets. For empirical analysis, twelve portfolios were developed based on size, market capitalization, investment strategy, and growth. Subsequently, we constructed five Fama-French factors namely, R_M, SMB, HML, RMW, and CMA. The OLS regression technique with robust standard errors was applied to compare the predictive power of both the Fama-French models. Further, we also compared the mean-variance efficiency of the Fama-French models through the GRS test. Our empirical analysis provides three unique and interesting findings. First, both asset pricing models have similar predictive power to explain the expected portfolio returns in most cases. Second, our results from the GRS test suggest that there is no noticeable difference in the mean-variance efficiency of one asset pricing model over the other. Third, we find that all factors of both Fama-French models are statistically significant and are important for explaining the volatility of expected commercial bank returns in the context of Pakistan.

• East Asian mathematical journal
• /
• 제9권2호
• /
• pp.333-345
• /
• 1993

• 한국조리학회지
• /
• 제22권3호
• /
• pp.44-54
• /
• 2016

본 연구에서는 저가커피 전문점의 서비스품질에 따라서 브랜드이미지와 재방문의도에 미치는 영향요인들과 그 요인을 이용한 앞으로의 활용방안을 제시하고자 한다. 총 225부의 설문지를 배포하여 불성실하게 응답한 15부의 설문지를 제외한 나머지 210부의 유효한 설문지를 실증연구에 사용되었다. 조사 연구의 목적을 달성하기 위하여 통계프로그램 SPSS 18.0을 활용하여 빈도분석, 요인분석 및 신뢰도분석, 상관관계분석, 회귀분석을 실시하였다. 분석결과를 보면 서비스품질에 대한 측정항목의 탐색적 요인분석 결과는 4개 요인으로, KMO 값은 0.864, 총분산비율 73.235%, 브랜드이미지에 대한 요인분석은 총분산비율 66.497%, KMO 값은 0.885로 나타났다. 재방문의도에 대한 요인분석은 총분산설명력 60.192%, KMO 값은 0.845로 나타났다. 변수들 간의 상관관계가 다른 변수에 의해 설명되는 정도가 좋게 분석되었고, 유의확률이 0.000으로 나타나 전반적으로 변수들 간의 상관관계는 유의적이다. 따라서 서비스품질에 따른 브랜드이미지와 재방문의도에 미치는 영향에 관한 가설은 부분채택되었다.

• 한국조리학회지
• /
• 제22권4호
• /
• pp.181-191
• /
• 2016

본 연구에서는 친환경농산물 선택결정요인이 소비자신뢰와 추천의도에 미치는 영향요인들과 그 요인을 이용한 앞으로의 활용방안을 제시하고자 한다. 총 220부의 설문지를 배포하여 불성실하게 응답한 10부의 설문지를 제외한 나머지 210부의 유효한 설문지를 실증연구에 사용되었다. 조사연구의 목적을 달성하기 위하여 통계프로그램 SPSS 18.0을 활용하여 빈도분석, 요인분석 및 신뢰도분석, 상관관계분석, 회귀분석을 실시하였다. 분석결과를 보면 선택결정요인에 대한 측정항목의 탐색적 요인분석 결과, 3개 요인으로 KMO 값은 0.735, 총분산비율 79.373%, 소비자신뢰에 대한 요인분석은 총분산비율 75.431%, KMO 값은 0.695로 나타났다. 추천의도에 대한 요인분석은 총분산설명력 68.428%, KMO 값은 0.694로 나타났다. 변수들 간의 상관관계가 다른 변수에 의해 설명되는 정도가 좋게 분석되었고, 유의확률이 0.000으로 나타나 전반적으로 변수들 간의 상관관계는 유의적이다. 따라서 선택결정요인에 따른 소비자신뢰는 추천의도에 미치는 영향에 관한 가설은 채택되었다.

• 간호행정학회지
• /
• 제9권2호
• /
• pp.217-232
• /
• 2003

Purpose : This paper was attempted to identify the job stress related factors among the staff nurses and to provide the basic data concerning development of stress management program focused on hospitals. Method : The subjects were 309 staff nurses at two general hospitals in Seoul. Data were collected with self-reported questionnaires and analyzed by SPSS-PC+10.0 for descriptive analysis, ANOVA, stepwise multiple regression, factor analysis. Results : The subjects exhibit significantly highest level of 'the participation in decision making factor'. The mean score of 'control coping strategies' was higher than 'avoid coping strategies'. The mean scores of social support and stress responses were high. The main factor that affected the stress responses was 'the job characteristic factor' and it was explained 23.0% out of the total variance of the stress responses. Also, it would be explained 42.6% out of the total variance of the stress responses with 'the control coping strategies, work overload factors, social support, and participation in decision making factors'. Conclusion: For developing the hospital- focused stress management program for staff nurses, 'the participation in decision making factors' and 'the job characteristics' should be considered. Also, the organizational efforts and supports should be required to support and use of 'control coping strategies' of nurses

• 한국자동차공학회논문집
• /
• 제10권4호
• /
• pp.85-92
• /
• 2002

To investigate the safety of the in-use vehicles emission against the tail-pipe emission regulation, in-use vehicles emission trend according to vehicle mileage should be known. But it is impossible to collect all vehicles emission data In order to know that. Therefore, it is necessary to establish a statistically meaningful inference method that can be used generally to estimate in-use vehicles emissions distribution according to the vehicle mileage with relatively less in-use vehicles emission data. To do this, a linear regression model that solved the problems of data normality and common variance of error was studied. As a way that can secure the data normality, In(emission) instead of emission itself was used as a sampled data. And a reciprocal of mileage was suggested as a factor to secure common variance of error. As an example, 36 data of FTP-75 test were handled in this study. As a result, using average value and standard deviation at each mileage which were inferred from a linear regression model, probability density distribution and cumulative distribution of emissions according to the vehicle mileage were obtained and it was possible to predict the deterioration factor through full useful life mileage and also possible to decide whether those in-use vehicles will meet the tail-pipe emission regulations or not.