• 제목/요약/키워드: Model adequacy

검색결과 360건 처리시간 0.024초

패션기업과 아티스트 간의 공동상품화를 위한 파트너쉽에 관한 연구 - 탐색적 요인분석, 구조방정식 모형분석을 중심으로 - (Partnerships for joint product development between fashion companies and artists - focusing on exploratory factor analysis and structure equation model analysis -)

  • 최소라;정성지;김동건
    • 한국의상디자인학회지
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    • 제21권1호
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    • pp.47-57
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    • 2019
  • The purpose of the study was to explore effective satisfaction factors for continuous partnerships between fashion companies and artists. A questionnaire was developed by the researchers and results were collected from a total of 273 people who were working for a fashion company or working as an artist. Data was analyzed by the use of a frequency test, a reliability test, an exploratory factor analysis and a structure equation model analysis using AMOS 18.0. The results of the study were as follow. First, profitability and adequacy had significant effects, but awareness had no effect on confidence concerning the partnership. Second, awareness and profitability showed significant effects, but adequacy showed no effect on the flow among those in the partnership. Third, confidence had a significant effect on flow. Fourth, among the partnership factors, confidence and flow had significant effects on partnership satisfaction. Fifth, flow showed a significant effect on the intent for a continuous partnership, but confidence showed no effect.

가정경제복지에 대한 객관적, 주관적 평가 변인의 영향력 (Effects of Objective, Subjective variables on the household economic well-being)

  • 고보선
    • 대한가정학회지
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    • 제33권6호
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    • pp.269-280
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    • 1995
  • This study focused on examining the effects of Objective, Subjective variables on the household economic well-being. Data were collected from 254 financial managers in Seoul. City. Results show that the Causal model supported hypothesis. Almost of the hypothesis were supported and Perceived adequacy of resources variable was mediated between Input variables and Satisfaction with financial situation variable. The present study implicated that this model apply to family resource management research.

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The Weight Distribution of Pellet Sizes of Carbon Black Products

  • Kim, Y.H.;Park, C.J.
    • 대한산업공학회지
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    • 제10권1호
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    • pp.37-40
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    • 1984
  • A model for the weight distribution of pellet sizes of carbon black products is proposed so that it may be utilized in establishing the product standard and a quality control scheme. The various grades of carbon black products from the Korea Steel Chemical Co., Ltd. are examined to validate the adequacy of the proposed model.

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Calculation of the Solvation Free Energy of the Proton in Methanol

  • Hwang, Sun-Gu;Chung, Doo-Soo
    • Bulletin of the Korean Chemical Society
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    • 제26권4호
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    • pp.589-593
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    • 2005
  • The solvation free energy of proton in methanol was calculated by B3LYP flavor of density functional calculations in combination with the Poisson-Boltzmann continuum solvation model. In order to check the adequacy of the computation level, the free energies of clustering in the gas phase were compared with the experimental data. The solvents were taken into account in a hybrid manner, i.e. one to five molecules of methanol were explicitly considered while other solvent molecules were represented with an implicit solvation model.

Assessing the Accuracy of Outlier Tests in Nonlinear Regression

  • Kahng, Myung-Wook;Kim, Bu-Yang
    • Communications for Statistical Applications and Methods
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    • 제16권1호
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    • pp.163-168
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    • 2009
  • Given the specific mean shift outlier model, the standard approaches to obtaining test statistics for outliers are discussed. Accuracy of outlier tests is investigated using subset curvatures. These subset curvatures appear to be reliable indicators of the adequacy of the linearization based test. Also, we consider obtaining graphical summaries of uncertainty in estimating parameters through confidence curves. The results are applied to the problem of assessing the accuracy of outlier tests.

Skewness of Gaussian Mixture Absolute Value GARCH(1, 1) Model

  • Lee, Taewook
    • Communications for Statistical Applications and Methods
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    • 제20권5호
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    • pp.395-404
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    • 2013
  • This paper studies the skewness of the absolute value GARCH(1, 1) models with Gaussian mixture innovations (Gaussian mixture AVGARCH(1, 1) models). The maximum estimated-likelihood estimator (MELE) employed (a two- step estimation method in order to estimate the skewness of Gaussian mixture AVGARCH(1, 1) models. Through the real data analysis, the adequacy of adopting Gaussian mixture innovations is exhibited in reflecting the skewness of two major Korean stock indices.

Checking the Additive Risk Model with Martingale Residuals

  • Myung-Unn Song;Dong-Myung Jeong;Jae-Kee Song
    • Journal of the Korean Statistical Society
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    • 제25권3호
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    • pp.433-444
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    • 1996
  • In contrast to the multiplicative risk model, the additive risk model specifies that the hazard function with covariates is the sum of, rather than product of, the baseline hazard function and the regression function of covariates. We, in this paper, propose a method for checking the adequacy of the additive risk model based on partial-sum of matingale residuals. Under the assumed model, the asymptotic properties of the proposed test statistic and approximation method to find the critical values of the limiting distribution are studied. Several real examples are illustrated.

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Unbiasedness or Statistical Efficiency: Comparison between One-stage Tobit of MLE and Two-step Tobit of OLS

  • Park, Sun-Young
    • International Journal of Human Ecology
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    • 제4권2호
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    • pp.77-87
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    • 2003
  • This paper tried to construct statistical and econometric models on the basis of economic theory in order to discuss the issue of statistical efficiency and unbiasedness including the sample selection bias correcting problem. Comparative analytical tool were one stage Tobit of Maximum Likelihood estimation and Heckman's two-step Tobit of Ordinary Least Squares. The results showed that the adequacy of model for the analysis on demand and choice, we believe that there is no big difference in explanatory variables between the first selection model and the second linear probability model. Since the Lambda, the self- selectivity correction factor, in the Type II Tobit is not statistically significant, there is no self-selectivity in the Type II Tobit model, indicating that Type I Tobit model would give us better explanation in the demand for and choice which is less complicated statistical method rather than type II model.

청소년의 구강건강증진행위에 미치는 영향요인 연구 (A Study on the Effective Factor of an Oral Health Promotion Behavior for Adolescents)

  • 김영임
    • 보건의료산업학회지
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    • 제11권2호
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    • pp.129-142
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    • 2017
  • Objectives : The purpose of this study was to identify the main variables of difference in high school students' oral health promotion behaviors among adolescents and to improve their academic and oral health promotion behaviors. Methods : The research subjects consisted of 311 high school students in Jeonju. Results : The adequacy of the hypothetical model accounted for 46.9 % of the oral health promotion behavior. The Redundancy of all variables showed the value of the positive values, indicating that the Goodness of fit was greater than the optimum value of the model, and the model of the PLS was a desirable model. The effects of perceived benefits, self efficacy, and social support on oral health promotion behaviors were found to be higher in oral health promotion behaviors. Conclusions : This study is expected to have a significant impact on the perception of the oral health promotion for adolescents in the future and will contribute to the expansion and generalization of Pender's oral health promotion model.

Censored varying coefficient regression model using Buckley-James method

  • Shim, Jooyong;Seok, Kyungha
    • Journal of the Korean Data and Information Science Society
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    • 제28권5호
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    • pp.1167-1177
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    • 2017
  • The censored regression using the pseudo-response variable proposed by Buckley and James has been one of the most well-known models. Recently, the varying coefficient regression model has received a great deal of attention as an important tool for modeling. In this paper we propose a censored varying coefficient regression model using Buckley-James method to consider situations where the regression coefficients of the model are not constant but change as the smoothing variables change. By using the formulation of least squares support vector machine (LS-SVM), the coefficient estimators of the proposed model can be easily obtained from simple linear equations. Furthermore, a generalized cross validation function can be easily derived. In this paper, we evaluated the proposed method and demonstrated the adequacy through simulate data sets and real data sets.