• 제목/요약/키워드: Statistic Analysis

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부산방문 한.중 관광객의 정서적 이미지 비교 (Difference between the Domestic and China Tourist of the Destination Image in Busan)

  • 이종한
    • 한국관광식음료학회지:관광식음료경영연구
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    • 제16권2호
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    • pp.201-216
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    • 2005
  • This study investigated of the differences of the image between the domestic and china tourist of the visiting in busan metropolitan city and their image evaluation were different according to the nationality. The attribute for the destination image types were measured using 27 items. The factors involved in the destination image were analysis and 7 factors emerged. The result are as follows. First, Between the domestic and china tourist of living appeared to statistical different of the destination image. Second, Between destination image and revisiting preference appeared to statistical difference. Third, Between destination image and revisiting preference appeared to statistical difference according to the nationality. Forth, Between destination image and revisiting preference appeared to statistical partially difference according to the nationality. Finally it is also appeared to the statistical difference on the job. ANOVA, t-test was utilized for the above analysis which revealed that a statistic partially difference exited between domestic and china tourist.

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통합수요관리 효과분석을 위한 한국형 Energy System Management 모형 개발에 관한 연구 (A study on Development of Korean - Energy System Management Model for Effect Analysis of Integrated Demand Management)

  • 김용하;조현미;김의경;유정희;김동근;우성민
    • 전기학회논문지
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    • 제60권6호
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    • pp.1103-1111
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    • 2011
  • This paper is developed to Energy Balance Flow show the flow of total energy resource be used nationally. The Energy Balance Flow is applicable of demand management factor through the analysis of foreign energy model of supply and demand and energy statistic data in the country. This study is based on and developed to Energy system management model is able to appraisal efficient of energy cost cutting, CO2 emission reduction and Energy saving at the national level calculated effect reached amount of primary energy to change of energy flow followed application of demand side management factor is able to appraisal quantitatively at the total energy to model of demand and supply.

Energy Balance Flow 구축에 의한 에너지효율향상 효과분석 (Effect Analysis on Energy Efficiency Improvement for Establishing Energy Balance Flow)

  • 김용하;조현미;신형철;김형중;우성민;김영길
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.679-680
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    • 2011
  • This paper is developed to Energy Balance Flow show the flow of total energy resource be used nationally. The Energy Balance Flow is applicable of demand management factor through the analysis of foreign energy model of supply and demand and energy statistic data in the country. This study is based on and developed to Energy system management model is able to appraisal efficient of energy cost cutting, CO2 emission reduction and Energy saving at the national level calculated effect reached amount of primary energy to change of energy flow followed application of demand side management factor is able to appraisal quantitatively at the total energy to model of demand and supply.

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윈저화를 이용한 로버스트 분산분석 (On a robust analysis of variance based on winsorization)

  • 성내경
    • 응용통계연구
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    • 제8권1호
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    • pp.119-131
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    • 1995
  • 윈저화 자료에 기초한 분산분석법 개발의 일차시도로 고정효과 일원 분산분석 모형에 대한 윈저화 분산분석을 제시한다. 몬테 칼로 모의실험 기법을 사용하여 각 요인 수준마다 g-g 대칭 윈저화를 적용시켰을 때 윈저화 자료에 기초한 제곱합들의 비의 경험적 분포가 통상의 F 분포로 근사됨을 보인다. 이 근사 F 분포의 자유도는 윈저화 카이제곱 통계량의 경험적 분포가 자유도 (n-3g-1)의 통상적인 카이제곱 분포에 만족할만하게 근사되어진다는 성내경(1994)의 연구 성과를 토대로 결정된다. 여기서 n은 표본 크기, g는 한쪽 꼬리 부분에서 윈저화가 적용되는 양이다. 산출된 분산비의 경험적 분위수의 일부를 수록하였다. 이 연구는 non-adaptive 로버스트 분산분석법을 제안하는 것으로 이상점이 존재하는 분산분석 자료에 적용하면 자료 해석이 단순화되는 실용성을 위주로 한다.

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개인가치에 따른 유.아동복 쇼핑성향과 유.아동의 착의역할모델 (Shopping Orientation of Infant and Children's Wear and Wearing Role Model According to Value)

  • 이지연;김미영
    • 한국의상디자인학회지
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    • 제13권3호
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    • pp.31-43
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    • 2011
  • This study investigates the differences in the purchasing behavior of infant & children's wear with the features of children and consumers. This study conducted a survey on female buyers of infant & children's wear. 558 questionnaires were analyzed by using SPSS 18.0 statistic program with factor analysis, Cronbach's ${\alpha}$, cluster analysis, ANOVA, and paired t-test. The results are as follows: 1. The buyer's value was identified with 3 factors: mental achievement value, social achievement value, and pleasure value. Three types of group by values were identified: group seeking mental social achievement, group seeking social achievement, and group seeking pleasure. 2. Fashion and conformity, pleasure pursuit, and reasonable price pursuit orientations showed significant differences among the value groups. 3. A significant difference was found in the imitation of wearing role models according to sibling relationships.

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Estimation of Log-Odds Ratios for Incomplete $2{\times}2$ Tables with Covariates using FEFI

  • Kang, Shin-Soo;Bae, Je-Min
    • Journal of the Korean Data and Information Science Society
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    • 제18권1호
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    • pp.185-194
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    • 2007
  • The information of covariates are available to do fully efficient fractional imputation(FEFI). The new method, FEFI with logistic regression is proposed to construct complete contingency tables. Jackknife method is used to get a standard errors of log-odds ratio from the completed table by the new method. Simulation results, when covariates have more information about categorical variables, reveal that the new method provides more efficient estimates of log-odds ratio than either multiple imputation(MI) based on data augmentation or complete case analysis.

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부산방문 한 ${\cdot}$ 중 관광객의 정서적 이미지 비교 (Difference between the Domestic and China Tourist of the Destination Image in Busan)

  • 이종한
    • 한국관광식음료학회:학술대회논문집
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    • 한국관광식음료학회 2005년도 학술논문발표집
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    • pp.21-33
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    • 2005
  • This study investigated of the differences of the image between the domestic and china tourist of the visiting in busan metropolitan city and their image evaluation were different according to the nationality. The attribute for the destination image types were measured using 27 items. The factors involved in the destination image were analysis and 7 factors emerged. The result are as follows. First, Between the domestic and china tourist of living appeared to statistical different of the destination image. Second, Between destination image and revisiting preference appeared to statistical difference. Third, Between destination image and revisiting preference appeared to statistical difference according to the nationality. Forth, Between destination image and revisiting preference appeared to statistical partially difference according to the nationality. Finally it is also appeared to the statistical difference on the job. ANOVA, t-test was utilized for the above analysis which revealed that a statistic partially difference exited between domestic and china tourist.

  • PDF

강판튜브 엑스선 영상의 영역별 영상잡음 특성분석 (Regional Image Noise Analysis for Steel-tube X-ray Image)

  • 황중원;황재호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.32-34
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    • 2007
  • The X-ray projection system has long been used for steel-tube inspection and weld monitoring. The thickness of tubes and welded areas is based on the evaluation of radiographic shadow projections. The traditional tangential measurement estimates the distance of border lines of the projected wall shadows of a tube onto a radiographic image detector. The detected image in which although there is a variety of noise may be sectioned into several partitions according to its specific blocks. Imaging noise originates from most of elements of the system, such as shielding CCD camera, imaging screen, X-ray source, inspected object, electronic circuits and etc. The tangential projection incorrectness and noise influence on imaging quality. In this paper we first sectionalize the X-ray image on the basis of vertical contrast difference. And next functional and statistic analysis are carried on at each region. Geometrical distance and unsharpness of the edge caused by visual evaluation uncertainties are also discussed.

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BAYESIAN HIERARCHICAL MODEL WITH SKEWED ELLIPTICAL DISTRIBUTION

  • Chung, Youn-Shik;Dipak K. Dey;Yang, Tae-Young;Jang, Jung-Hoon
    • Journal of the Korean Statistical Society
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    • 제32권4호
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    • pp.425-448
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    • 2003
  • Meta-analysis refers to quantitative methods for combining results from independent studies in order to draw overall conclusions. We consider hierarchical models including selection models under a skewed heavy tailed error distribution proposed originally by Chen et al. (1999) and Branco and Dey (2001). These rich classes of models combine the information of independent studies, allowing investigation of variability both between and within studies, and incorporate weight function. Here, the testing for the skewness parameter is discussed. The score test statistic for such a test can be shown to be expressed as the posterior expectations. Also, we consider the detail computational scheme under skewed normal and skewed Student-t distribution using MCMC method. Finally, we introduce one example from Johnson (1993)'s real data and apply our proposed methodology. We investigate sensitivity of our results under different skewed errors and under different prior distributions.

Power Comparison of EGLS Test Statistic for Fixed Effects with Arbitrary Distributions

  • Lee, Jang-Taek
    • Communications for Statistical Applications and Methods
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    • 제10권1호
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    • pp.11-18
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    • 2003
  • Quite often normality assumptions are not satisfied in practical applications. In this paper, an estimated generalized least squares(EGLS) analysis are considered in two way mixed linear models with arbitrary types of distributions for random effects. We investigate the power performance of EGLS analysis based on Henderson's method III, ML, REML and MINQUE(1). The power performances depend on the imbalance of design, on the actual values of ratio of variance components, and on the skewness and kurtosis parameters of the underlying distributions slightly. Results of our limited simulation study suggest that the EGLS F-statistics using four estimators and arbitrary distributions produce similar type I error rates and power performance.