• Journal of information and communication convergence engineering
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• v.6 no.2
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• pp.182-186
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• 2008

RFID systems generate huge amount of data quickly. The data are associated with the locations and the timestamps and the containment relationships. It is requires to assure efficient queries and updates for product tracking and monitoring. We propose a clustering technique for fast query processing. Our study presents the state charts of temporal event flow and proposes the dependence trees with data association and uses them to cluster the linked events. Our experimental evaluation show the power of proposing clustering technique based on dependence tree.

• Journal of Distribution Science
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• v.12 no.12
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• pp.19-26
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• 2014

Purpose - This paper aims to test the effects of Korean food service franchisors' and franchisees' TSI (Transaction Specific Investment) on dependence and trust toward the franchisor and re-contract intention. The study examines the effects of both franchisors' and franchisees' TSI on dependence and trust, as compared with Ganesan (1994). Research design, data, and methodology - Data were collected from 495 Korean food service franchisees and analyzed with structural equation modeling using path analysis through SPSS 18.0 and AMOS 18.0. Results - 1) The franchisor's TSI has positive effects on the franchisee's dependence and trust toward the franchisor. 2) The franchisee's TSI has a positive effect on the franchisee's dependence toward the franchisor. 3) The franchisee's dependence and trust have positive effects on commitment. 4) The franchisee's dependence, trust, and commitment have a positive effect on re-contract intention. Conclusions - The franchisor's and franchisee's TSI affect the franchisee's dependence and trust toward the franchisor. The franchisee's dependence and trust influence commitment and re-contract intention. This has managerial implications for franchisors striving to raise franchisees' re-contract intention.

• Journal of the Korean Statistical Society
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• v.27 no.2
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• pp.205-220
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• 1998

Dependence concepts for ordered two-way contingency tables have been of considerable interest. We consider a dependence concept which is less restrictive than likelihood ratio dependence and more restrictive than regression dependence. Maximum likelihood estimation of cell probability under this dependence restriction is studied. The likelihood ratio statistics for and against this dependence are proposed and their large sample distributions are derived. A real data is analyzed to illustrate the estimation and testing procedures.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1477-1488
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• 2013

In this study, we analyze the dependence structure of KOSPI and NYSE indices based on a two-step estimation procedure. In the rst step, we adopt ARMA-GARCH models with Gaussian mixture innovations for marginal processes. In the second step, time-varying copula parameters are estimated. By using these, we measure the dependence between the two returns with Kendall's tau and Spearman's rho. The two dependence measures for various copulas are illustrated.

• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.829-843
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• 2010

To test for the serial dependence in time series of counts data, Jung and Tremayne (2003) evaluated the size and power of several tests under the class of INARMA models based on binomial thinning operations for Poisson marginal distributions. The overdispersion phenomenon(i.e., a variance greater than the expectation) is common in the real world. Overdispersed count data can be modeled by using alternative thinning operations such as random coefficient thinning, iterated thinning, and quasi-binomial thinning. Such thinning operations can lead to time series models of counts with negative binomial or generalized Poisson marginal distributions. This paper examines whether the test statistics used by Jung and Tremayne (2003) on serial dependence in time series of counts data are affected by overdispersion.

• Research in Community and Public Health Nursing
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• v.17 no.3
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• pp.346-353
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• 2006

Purpose: The Purpose of this study was to analyze factors influencing the dependence of the elderly. Method: This research was designed as a descriptive study. The subjects were 103 elders living in Seoul. Data were collected from December 2004 through January 2005. The instrument used in this study was the elderly dependence scale developed by the Park (2004). Collected data were analyzed using SPSS 11.0 for Windows. Descriptive statistics, independent t-test, ANOVA and multiple regression were done. Results: In the results of regression, residence, education, vision and age were extracted as factors influencing the dependence of the elderly. The regression model explained 33% of the variance. Conclusion: Considering the results above, we need studies on the dependence of the elderly using more independent variables, on the changing pattern of dependence and influencing factors by longitudinal design, and on the elderly with functional limitations or cognitive impairment.

• Journal of Korea Multimedia Society
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• v.6 no.4
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• pp.736-745
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• 2003

Traditional slicing techniques make slices through dependence graphs. They also improve the accuracy of slices. However, traditional slicing techniques require many vertices and edges in order to express a data communication link because they are based on static slicing techniques. Therefore the graph becomes very complicated, and size of the slices is larger. We propose the representation of a dynamic object-oriented program dependence graph so as to process the slicing of object-oriented programs that is composed of related programs in order to process certain jobs. We also propose an efficient slicing algorithm using the relations of relative tables in order to compute dynamic slices of object-oriented programs. Consequently, the efficiency of the proposed efficient dynamic object-oriented program dependence graph technique is also compared with the dependence graph techniques discussed previously As a result, this is certifying that an efficient dynamic object-oriented program dependence graph is more efficient in comparison with the traditional object-oriented dependence graphs and dynamic object-oriented program dependence graph.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1225-1239
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• 2016

We investigate pediatric tumor incidence data collected by the Florida Association for Pediatric Tumor program using various models commonly used in disease mapping analysis. Particularly, we consider Poisson normal models with various conditional autoregressive structure for spatial dependence, a zero-in ated component to capture excess zero counts and a spatio-temporal model to capture spatial and temporal dependence, together. We found that intrinsic conditional autoregressive model provides the smallest Deviance Information Criterion (DIC) among the models when only spatial dependence is considered. On the other hand, adding an autoregressive structure over time decreases DIC over the model without time dependence component. We adopt weighted ranks squared error loss to identify high risk regions which provides similar results with other researchers who have worked on the same data set (e.g. Zhang et al., 2014; Wang and Rodriguez, 2014). Our results, thus, provide additional statistical support on those identied high risk regions discovered by the other researchers.

• Korean Journal of Health Education and Promotion
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• v.27 no.4
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• pp.123-129
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• 2010

Objectives: The aim of this study is to seek an effective way to support smoking cessation by analyzing any change to the pattern of nicotine dependence according to the change in time. Methods: The study was conducted with 800 male smokers who had participated in smoking cessation programs at public health centers from July 16, 2005 to July 15, 2008. Latent growth curve modeling approach was used for data analysis. Results: From the developmental trajectory of individual nicotine dependence, while nicotine dependence of smokers with high nicotine dependence in the first year was slightly decreased in the third year, smokers with low nicotine dependence in the year showed dramatically lower nicotine dependence in the third year. Compared with those who did not successfully quit smoking, the initial value of nicotine dependence of those who successfully quit smoking in the first and the second year was low. Over the years, nicotine dependence was decreased. Conclusion: From this study it was demonstrated that nicotine dependence was reduced through the practice of smoking cessation and reduced nicotine dependence was a factor which affects successful smoking cessation. These results indicate that multiple attempts to quit smoking finally reduces nicotine dependence. Reduced nicotine dependence is likely to increase the possibility of successful smoking cessation.

• Asia Marketing Journal
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• v.20 no.2
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• pp.1-27
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• 2018

This study examines the effects of dependence and conflict on organizational performances in partnership, qualitatively (trust) and quantitatively (sales) under four control variables (period of business, number of goods, competition density, and number of employees). Also, this study presents termination cost and alternative attractiveness as the antecedents of dependence, goal incongruity and unfairness as the antecedents of conflict. As the results of analysis with survey data from 360 distributors in manufacturer-distributor partnership, 7 hypotheses are supported and 2 hypotheses are rejected. The results of structural equation modeling (SEM) verify that termination cost increases dependence, that alternative attractiveness reduces dependence, that goal incongruity and unfairness increase conflict, that dependence reduces conflict, that dependence increases trust, and that conflict reduces trust. However, unexpectedly, dependence reduces sales, and conflict has no impact on sales. The results of this study provide insightful implications theoretically and managerially to scholars and practitioners interested in partnership.