• Journal of applied mathematics & informatics
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• v.15 no.1_2
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• pp.485-493
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• 2004

This paper presents the interesting properties of a certain patterned matrix that plays an significant role in the statistical analysis. The necessary and sufficient condition on the existence of the inverse of the patterned matrix and its determinant are derived. In special cases of the patterned matrix, explicit formulas for its inverse, determinant and the characteristic equation are obtained.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.84-99
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• 2014

In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

• The Pure and Applied Mathematics
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• v.2 no.2
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• pp.133-140
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• 1995

The D-optimal design criterion for precise parameter estimation in nonlinear regression analysis is called the determinant criterion because the determinant of a matrix is to be maximized. In this thesis, we derive the gradient and the Hessian of the determinant criterion, and apply a QR decomposition for their efficient computations. We also propose an approximate form of the Hessian matrix which can be calculated from the first derivative of a model function with respect to the design variables. These equations can be used in a Gauss-Newton type iteration procedure.

• Journal of the Korean housing association
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• v.28 no.2
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• pp.67-74
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• 2017

The purpose of this study is to present basic data of basic concept that planners should consider in planning process. For this purpose, we have proposed the determinant factors of basic concept. In particular, this study focuses on the physical planning elements among the various planning elements that determine the basic concept. The research method is the case study and analysis for the competitions of LH for the past four years. After dividing the residential environment area, the planning elements was derived and the planning direction is arranged for the case district. The determinants factor were determined by the structure of each area. Three area, including the degree of urban context, were found to be the main determinants of the basic idea. The results of the study are as follows. (1) The degree of reflection of urban context, the degree of effort to resolve environmental influences are determinant factors of basic concept. (2) The degree of connection between urban and site area, the degree of overlapping of the boundaries, and street are determinant factors of basic concept. (3) The degree of appropriateness of the residential layout, the degree of rationality of the moving plan, the adequacy of the community space plan are determinant factors of basic concept.

• The Journal of Fisheries Business Administration
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• v.34 no.1
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• pp.31-44
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• 2003

The purpose of this study is to investigate empirically interaction among the financing decision, investment decision, and profitability by using 41 fisheries corporations in Korea, and to suggest implications of the empirical results for government's financial policy for fisheries corporations. Sample period is 19 years from 1982 till 2000. This analysis method employs the two stage least squares(2SLS) estimation method. From the results of regression analysis by 2SLS estimation method, the adjusted $R^2$ values were high and the overall F values indicated significant. The empirical results of this study are as follows; (1) determinant factors of capital structure model for fisheries are profitability, firm-size, fisheries investment of total asset, and business risk. As pecking order theory explains, the higher is profitability the lower is debt ratio. The larger firm-size, the higher is debt ratio. The higher is fisheries investment of total asset and business risk, the higher is debt ratio. (2) determinant factors of investment model for fisheries are the change of sales, business risk, and debt ratio. These factors have positive relation to fisheries investment of total asset (3) determinant factors of profitability model for fisheries are fisheries investment of total asset and debt ratio. These factors have negative relation to profitability. On the basis of analysis results, on the government's financial policy for fisheries corporations, I suggests that with interest rate reduction, the government should lend more funds to solve the crisis in the financial structure of the fisheries firms

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.23-35
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• 2014

The aim of this study is to analyze determinant factor on the strike action among hospital laborer in Korea. We collected data for 10days from 12 to 22 July, 2013. This study was surveyed 405 laborer in university hospital was located in the Seoul city and Gyeonggi-do. It was found as follow. There was statistically significant difference in the strike propensity and sub-domain on the job dissatisfaction by sex, age, education, wedding, occupation, position, salary, number of years of employment, position in labor union for strike action(p<0.05). From the multiple regression analysis, it was found that determinant factor on the strike action was occupation, strike propensity(sense of duty, after vote, depend on compensation) which was statistically significant difference(p<0.05). As a result, we suggest that hospital administrator must solve the problem related welfare benefits and personnel system in university hospital for preventing strike.

• Journal of Korean Society of Rural Planning
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• v.11 no.3 s.28
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• pp.11-17
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• 2005

Land prices reflect not only the uses of land, but the potential uses as well(Plantinga, 2002) so land values can be applied to very effective indices for deciding regional status and growing potential. The purpose of this study is to deduce determinant factors of regional land prices. Principal determinants of regional land prices are analyzed with a hedonic technique and spatial econometric models based on 2001 statistic data of Korea except large cities. The results provide the followings. 1. The spatial effect of rural regions are very little with adjacent regions. 2. The common index of land price is population density and other determinant factors are different depending on land uses.

• Journal of the Korean Institute of Telematics and Electronics
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• v.23 no.4
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• pp.455-459
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• 1986

A large set of linear equations which arise in many applications, such as in digital signal processing, image filtering, estimation theory, numerical analysis, etc. involve the problem of a tridiagonal matrix. In this paper, the determinant, eigenvalue and inverse matrix of a tridiagoanl matrix are analytically evaluated.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.418-427
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• 2011

The purpose of this study is to investigate demand-determinant factors based on the number of visits and substitutive relations inter-restaurants, which are four major domestic family restaurants. Findings indicate that the factors of demand-determinant for visiting are affected by demographic characteristics, brand images of family restaurants, and the rate of the number of visits. In addition, this study used partial co-relation analysis to determine the substitutive relations of competitive restaurants. Considering these results, this study suggests how family restaurants' marketing strategy could be differentiated by discriminating the determinant factors which affect the number of visits. Also, this study makes it possible to arrange the opportunity to strengthen restaurants' competitiveness by examining competitive relations to the inter-restaurants.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.2
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• pp.211-225
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• 1992

The purposes of this study were 1) to estimate the brand loyalty related to clothing items,2) to investigate the differences between the brand loyal group and the brand disloyal group in 4 determinant variables (product involvement, information source, purchase-related and demo- graphic variables) of brand loyalty, 3) to find out important determinant variables which explain the brand loyalty on clothing items, and 4) to identify product attributes that lead to brand loyalty on clothing items. Four clothing items selected (ortho study were underwear, jean / skirt, T-shirt / sweater, and formal dress / suits. The questionnaire was administered to 529 adult women living in Seoul, and the methods used to analyze the data were Frequency, T-Test, $x^{2}-test$, Factor Analysis and Multiple Discriminant Analysis. The results of this study were as follows: 1) Both behavior and attitude are needed for the measurement of brand loyalty in clothing. The hightes brand loyal item was formal dress / suits, followed by jean / skirt, T-shirt / sweater, underwear. 2) There were some significant differences between the brand loyal group and the brand disloyal group in 4 determinant variables of brand loyalty. 3) The important determinant variables of brand loyalty were perceived risk / brand differ-ence, purchase experience / self-confidence in purchase, and product symbolic / hedonic mean-ing, of which the most important varible was found to be perceived risk / brand difference. 4) The most important product attribute that lead to brand loyalty for underwear was comfort whereas for the other 3 clothing items, it was style. Quality was the second important productattributeforallclothingitems.