• Communications for Statistical Applications and Methods
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• v.14 no.2
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• pp.401-411
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• 2007

In this paper we propose an influence measure for detecting potentially influential observations using the infinitesimal perturbation and the local influence in the log-linear regression model. Also, we propose a goodness-of-fit measure for variable selection. A real data set are used for illustration.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.695-705
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• 2003

In this article, we propose a regression and correlation analysis via dynamic graphs and implement them in Java Web Start. For the polynomial relations between dependent and independent variables, dynamic graphics are implemented for both polynomial regression and spline estimates for an instant model selection. The results include basic statistics. They are available both as a web-based service and an application.

• Journal of Community Nutrition
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• v.3 no.1
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• pp.40-52
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• 2001

This study was undertaken with 237 fifth grade children to investigate the factors, affecting the seafood prefrerence of elementary school children as one of the approaches to find strategies to promote these children's acceptance of seafoods. Subjects for this study were from one public elementary school under meal service located each in Boryeoung-city Chungcheongna Co (coastal area) and Chelowon gen Gangwon do land locked area) The preferences for than those in Boryeong and differences in may items were significant Among four area gender groups girls in Cheolwon had the lowest preference for most seafood items except cephalocoda for which the preference of body in Cheolwon was the lowest Making soup was the least preferred method to cook fish regardless of gender and area, while grilling was the most or the second most preferred in each gender area group Compared to girls bodys had a higher preference for deep frying The seafood preferences of mothers in both areas were similar to those of their children except for processed seafoods which were even more preferred by the children than mothers. Gender, distance from the sea and the method of preparation/cooking seemed to affect the children's preference more than their mother's preference and frequency of serving in the case of seafood. And the effect of gender distance from the sea and cooking methods differed for each seafood category The several suggestions to improve seafood preference especially in land locked area are discussed.

• Journal of Korean Society for Quality Management
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• v.23 no.4
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• pp.58-63
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• 1995

To access the quality of a fit to a set of data it is always useful to conduct a posteriori analysis involving the examination of residuals, detection of influential data values, etc. Smoothing splines are a type of nonparametric regression estimators for the diagnostic problem. And leverage value, Cook's distance, and DFFITS are used for detecting influential data. Since high leverage points will always have small residuals, the new diagnostic measures including of properties of leverage and residuals are needed. In this paper, we propose FVARATIO version as diagnostic measure in nonparametric regression. Also we consider the rough bound as analogy with linear regression case.

• Journal of Korean Society for Quality Management
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• v.24 no.4
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• pp.29-43
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• 1996

This paper identifies these data by the data diagnosis in lognormal distribution and presents the method to obtain exact parameter estimates and confidence intervals of regression line. The life-stress relationship uses Arrhenius model and life data generate Class-H insulation complete data by simulation. Also, the method to estimate parameters uses least squares estimation and externally Studentized residuals can be used as test statistics for identifing outliers. And influential cases are identified by Cook's distance. This research is intended to obtain the useful information for the life of products and test method, to save time and costs, and to help optimum accelerated life test plans.

• Journal of the Korean Statistical Society
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• v.36 no.4
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• pp.457-469
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• 2007

Many procedures are available to identify a single outlier or an isolated influential point in linear regression and logistic regression. But the detection of influential points or multiple outliers is more difficult, owing to masking and swamping problems. The multiple outlier detection methods for logistic regression have not been studied from the points of direct procedure yet. In this paper we consider the direct methods for logistic regression by extending the $Pe\tilde{n}a$ and Yohai (1995) influence matrix algorithm. We define the influence matrix in logistic regression by using Cook's distance in logistic regression, and test multiple outliers by using the mean shift model. To show accuracy of the proposed multiple outlier detection algorithm, we simulate artificial data including multiple outliers with masking and swamping.

• Coupled systems mechanics
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• v.8 no.4
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• pp.315-338
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• 2019

The numerical investigations have been carried out on reinforced concrete slab against blast loading to demonstrate the accuracy and effectiveness of the finite element based numerical models using commercial package ABAQUS. The response of reinforced concrete slab have been studied against the influence of weight of TNT, standoff distance, boundary conditions, influence of air blast and surface blast. The results thus obtained from simulations were compared with the experiments available in literature. The inelastic behavior of concrete and steel reinforcement bar has been incorporated through concrete damage plasticity model and Johnson-cook models available in ABAQUS were presented. The predicted results through numerical simulations of the present study were found in close agreement with the experimental results. The damage mechanism and stress response of target were assessed based on the intensity of deformations, impulse velocity, von-Mises stresses and damage index in concrete. The results indicate that the standoff distance has great influence on the survivability of RC slab against blast loading. It is concluded that the velocity of impulse wave was found to be decreased from 17 to 11 m/s when the mass of TNT is reduced from 12 to 6 kg. It is observed that the maximum stress in the concrete was found to be in the range of 15 to $20N/mm^2$ and is almost constant for given charge weight. The slab with two short edge discontinuous end condition was found better and it may be utilised in designing important structures. Also it is observed that the deflection in slab by air blast was found decreased by 60% as compared to surface blast.

• Culinary science and hospitality research
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• v.17 no.5
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• pp.1-14
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• 2011

This study has been conducted to research the interests and tastes in Korean cuisine aiming at Germans who have lived in Korea for over 6 months, create new Korean menu items to their taste, and provide preliminary data for the globalization of Korean cuisine. Germans living in Korea tend to prefer Korean dishes as much as German dishes, and males have more opportunities to have different Korean dishes than females through social activities. Most of them answered that they barely cook Korean food and gave low marks for the globalization of Korean food and ease of cooking. The main reason given for not cooking Korean food themselves was that it is complicated to cook, which is a direct indication of the lack of knowledge of the recipes. Therefore, the importance of simplification and standardization of recipes for the globalization of Korean food was revealed. From the study on Korean food preferences based on the restaurant frequenting practices of Germans, the most popular Korean restaurants were those which were located in popular restaurant districts or within walking distance and those with an elegant or tranquil ambience. To promote the globalization of Korean food, development of diverse easy recipes or education about Korean dishes for foreigners would enhance their understanding and familiarity of Korean cuisine.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.361-372
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• 2014

Purpose: In this paper, we investigate whether the endeavors for 6 sigma quality management by a firm have positive effects on its financial performance and the length of 6 sigma implemented period affects its financial status. Methods: We conduct the analysis using the data from Workplace Panel Survey 2009. We use multiple linear regression in order to analyze the relationship between the efforts for quality management and financial performance. Specifically, the return on assets (ROA) and return on equity (ROE) are investigated as dependent variables and the efforts for quality management as independent variable. The Box-Cox transformation and Cook's distance are also used. Results: As a result of the analysis, the indication is that companies that put effect into the six sigma quality management have a positive result in its financial status. In detail, the efforts for six sigma quality management have positive effects on total asset turnover ratio and six sigma implemented period on net income to net sales ratio. Additionally, companies with longer(shorter) period of six sigma program have more (less) improvement in its financial status. Conclusion: It can be concluded that the company's efforts for quality management positively influence financial performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.65-75
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• 2021

This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.