• Title/Summary/Keyword: 전환회귀분석

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A Study on the Social Network Characteristics in Press Organizations of Korea (국내 언론사 조직에 내재한 사회적 네트워크 특성 연구 -국민정부에서 실용정부까지 신문사와 방송사 조직에서의 밀도 및 위치 분석을 중심으로)

  • Kwon, Jang-Won
    • Korean journal of communication and information
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    • v.67
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    • pp.7-34
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    • 2014
  • This study analyzes the characteristics, implications, and problems of Social Network of Press Organizations from the Kim Dae-jung administration to the Lee Myung-bak administration in Korea. For analyzing these issues, this study attempts to investigate the traits of social network structure based on the density analysis, distribution character analysis and correspondence analysis in each and among regimes. To answer these questions, this study utilizes human relationship data which related to personal network aspects (place of birth, affiliated college) and expertise aspects (types of major field), and which data has been gathered from the biographical web-site of Press Organizations in Korea. The results showed that the membership format of each Press Organizations depends on the connection with political environment directly and indirectly. Especially, the network traits of Broadcasting Press Organizations stands out a place of birth aspect. This findings indicate that the broadcasting policy reality that the path of decision making is connected with the political environment is more effective.

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A Study on the Analysis of Fashion Trends in 1990s -Focus on the Themes of Womens'Fashion- (1990년대 패션트렌드 분석연구 -여성패션의 테마를 중심으로-)

  • Nahm, Jae-Kyung;Geum, Key-Sook
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.9
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    • pp.1645-1654
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    • 2001
  • 패션은 지속적으로 변화하며 이는 새로운 패션 트렌드의 출현을 의미한다. 특히 지난 1990년대 패션은 사회, 과학, 경제, 문화 등 사회환경의 급격한 변화로 새롭고 다양한 가치의 추구로 패션분야에서도 새로운 것에 대한 욕구가 급증하였다. 따라서 본 연구는 1990년대 패션 트렌드를 분석하여 패션의 특성을 파악하여 미래의 패션을 예측하고 대응하기 위한 자료를 구축하는 것을 목적으로 하였다. 패션트렌드는 향후 예측되는 유행테마, 스타일, 색채 , 소재 , 디테일 등을 제시하고 있는데 , 본 연구에서는 시대상을 보다 심층적으로 파악하기 위하여 패션테마만을 집중적으로 분석하고 고찰하였다. 일반적으로 패션테마로 제시되는 개념 이 나 용어들은 동시대의 사회현상과 패션 분야에서 요구될 것으로 예상되는 내용이 비교적 자유분방하게 제 시 하고 있으므로, 패션 테마의 분석과 고찰은 패션의 실체를 이해하는데 매우 유용하다 하겠다. 따라서 본 연구에서는 패션테마로 제시된 용어들을 수집하고 분석하여 , 패션경향는 물론 패션의 실체를 파악하고자 하였다. 연구 대상은 1990년대 10년간의 패션트렌드로 설정했으며, 분석자료는 구체적으로 국내패션정보사인 K·F·S와 S· F·I에서 제시한 트렌드지를 사용하였다. 연구결과 1990년대 패션은 종래의 상식적인 디자인 개념을 넘어서서 여러 가지 다채로운 스타일들이 역사적 시간과 여러 문화의 공간을 오가며 교류되는 포스트모더니즘적 인 특성을 강하게 나타냈으며 , 이러한 경향은 매우 깊고 광범위하게 1990년대 의 패션트렌드에 반영되어 나타났다. 최근의 첨단 과학 기술의 발달과 이에 반하는 자연으로의 회귀욕구와 인간의 본질을 추구하는 인식의 전환 또한 패션 트랜드에 영향을 주었다. 이들을 포용하는 패션 주제는 크게 자연주의, 세계주의, 미래주의, 복고주의 등으로 분석되었다. 이 와 같은 패션 테마들은 각각 독립 적 이 기보다는 서로 상호 보완하고 조화를 이루는 가운데 1990년대 패션으로 형상화되었다. 이러한 1990년대 패션 경향의 분석 결과는 동시대의 사회상을 반영하는 동시에 패션의 특징인 주기성과 반복성을 그대로 보여주고 있었다. 이러한 연구 결과는 패션의 특징을 파악하고, 21세기 패션 경향을 보다 정확하게 예측하고 제시할 수 있는 중요한 자료로 사용될 수 있을 것으로 기대한다.

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Development of Empirical Formula for Transverse Dispersion Coefficient Based on Theoretical Equation in River Bends (만곡부에서 이론식에 기반한 횡분산계수 경험공식 개발)

  • Baek, Kyong Oh
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.6B
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    • pp.373-378
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    • 2012
  • In this study, a new empirical equation for the transverse dispersion coefficient has been developed based on the theoretical background in river bends. The nonlinear least-square method was applied to determine regression coefficients of the equation. The estimated dispersion coefficients derived by the new equation were compared with observed transverse dispersion coefficients acquired from natural rivers and coefficients calculated by the other existing empirical equations. From a comparison of the existing transverse dispersion equations and the new proposed equation, it appears that the behavior of the existing formula in a relative sense is very much dependent on the friction factor and the river geometry. However, the new proposed equation does not vary widely according to variation of friction factor. Also, it was revealed that the equation proposed in this study becomes an asymptotic curve as the curvature effect increases.

A Study on Non-financial Factors Affecting the Insolvency of Social Enterprises (사회적기업의 부실에 영향을 미치는 비재무요인에 관한 연구 )

  • Yong-Chan, Chun;Hyeok, Kim;Dong-Myung, Lee
    • Journal of Industrial Convergence
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    • v.21 no.11
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    • pp.13-27
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    • 2023
  • This study aims to contribute to the reduction of the failure rate and social costs resulting from business failures by analyzing factors that affect the insolvency of social enterprises, as the role of social enterprises is increasing in our economy. The data used in this study were classified as normal and insolvent companies among social enterprises (including prospective social enterprises) that were established between 2009 and 2018 and received credit guarantees from credit guarantee institutions as of the end of June 2022. Among the collected data, 439 social enterprises with available financial information were targeted; 406 (92.5%) were normal enterprises, and 33 (7.5%) were insolvent enterprises. Through a literature review, eight non-financial factors commonly used for insolvency prediction were selected. The cross-analysis results showed that four of these factors were significant. Logistic regression analysis revealed that two variables, including corporate credit rating and the personal credit rating of the representative, were significant. Financial factors such as debt ratio, sales operating profit rate, and total asset turnover were used as control variables. The empirical analysis confirmed that the two independent variables maintained their influence even after controlling for financial factors. Given that government-led support and development policies have limitations, there is a need to shift policy direction so that various companies aspiring to create social value can enter the social enterprise sector through private and regional initiatives. This would enable the social economy to create an environment where local residents can collaborate to realize social value, and the government should actively support this.

Automatic Parameter Estimation of Hydrogeologic Field Test around Underground Storage Caverns by using Nonlinear Regression Model (비선형 회귀모형을 이용한 지하저장공동 주변 현장수리지질시험 매개변수의 자동 추정)

  • Chung, Il-Moon;Cho, Won-Cheol;Kim, Nam-Won
    • The Journal of Engineering Geology
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    • v.18 no.4
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    • pp.359-369
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    • 2008
  • For the design and effective management of underground storage caverns, preliminary investigation on the hydrogeologic parameters around caverns and analysis on the groundwater flow must be carried out. The data collection is very imporatnat task for the hydrogeologic design so various hydraulic tests have been performed. When analyzing the injection/fall off test data, existing graphical method to estimate the parameters in Theis' equation is widely used. However this method has some sources of error when estimating parameters by means of human faults. Therefore the method of estimating parameters by means of statistical methods such as regression type is evaluated as a useful tool. In this study, nonlinear regression analysis for the Theis' equation is suggested and applied to the estimation of parameters for the real field interference data around underground storage caverns. Damping parameter which reduce the iteration numbers and inhance the convergence is also introduced.

Mixed-effects zero-inflated Poisson regression for analyzing the spread of COVID-19 in Daejeon (혼합효과 영과잉 포아송 회귀모형을 이용한 대전광역시 코로나 발생 동향 분석)

  • Kim, Gwanghee;Lee, Eunjee
    • The Korean Journal of Applied Statistics
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    • v.34 no.3
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    • pp.375-388
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    • 2021
  • This paper aims to help prevent the spread of COVID-19 by analyzing confirmed cases of COVID-19 in Daejeon. A high volume of visitors, downtown areas, and psychological fatigue with prolonged social distancing were considered as risk factors associated with the spread of COVID-19. We considered the weekly confirmed cases in each administrative district as a response variable. Explanatory variables were the number of passengers getting off at a bus station in each administrative district and the elapsed time since the Korean government had imposed distancing in daily life. We employed a mixed-effects zero-inflated Poisson regression model because the number of cases was repeatedly measured with excess zero-count data. We conducted k-means clustering to identify three groups of administrative districts having different characteristics in terms of the number of bars, the population size, and the distance to the closest college. Considering that the number of confirmed cases might vary depending on districts' characteristics, the clustering information was incorporated as a categorical explanatory variable. We found that Covid-19 was more prevalent as population size increased and a district is downtown. As the number of passengers getting off at a downtown district increased, the confirmed cases significantly increased.

Long Run Relationship Between Population and Yield Revisited: An Analysis of Malthusian Regime (맬서스 국면에 의한 인구와 산출량의 장기적 관계 분석)

  • Rhee, Hyun-Jae
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.142-155
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    • 2020
  • This study re-evaluated Malthusian regime which signifies a negative relationship between population and income by employing the trend for the population and the income of the world and panel analysis during 1820-2006 periods. Empirical evidence suggested that Malthusian regime was existed during 1900-1994 periods in the world economy. Even each country had experienced such regime in its own economic growth path. However, the population drastically decreased and output upsurged since 1995, Malthusian regime had not been revealed any more since then. Such phenomenon is mainly resulted from the output is rather increased geometrically when the population is decreased because of a social reason such as decreasing in fertility rate. In addition to this, the population contributes to the production not by a quantity but a quality which is embodied by capital. Particularly, when the population which is associated with demand side is counted, the population is said to be evolved continuously in economy.

Reexamination of Behavioral Activation and Inhibition Scale and Motivation for Self-determination in P·E Class (체육수업 상황에서 행동활성화와 억제 척도의 재검증과 자기결정성 동기의 관계)

  • Choi, Hun-Hyuk;Huh, Jin-Young
    • 한국체육학회지인문사회과학편
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    • v.51 no.5
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    • pp.229-241
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    • 2012
  • The purpose of this study was to identify the reexamination effects of behavioral activation·inhibition scale(Choi & Huh, 2010) on self-determination in order to analysis situational structure for P·E class which is perceived by students. To obtain the purpose, 656 high-school students from Gyeonggi-do area answered questionnaire using convenient sampling method. Data which is obtained through self-administration was analyzed using by the frequency analysis, multiple reguression analysis, EFA, and CFA with SPSS 18.0 and AMOS 16. Results were as followed. First, the more students have friend relation, teacher behavior, emotion change, and positive class attitude that are sub-factors of behavioral activation·inhibition, the more they have self-determination. Second, the less students have typical class structure, negative teacher's attitude, punishment, and lack of self-efficacy, the more they have self-determination. Overall results were discussed for practical application in P·E class.

Railroad Companies' competition structure in Tokyo, Japan (일본 동경권 철도회사의 경쟁구조와 경영비교분석)

  • Lim, Chai-Sung
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.1017-1028
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    • 2006
  • Japanese railroad companies continued growing by developing diversification based on a railroad enterprise. However, after entering in the 1990s, the diversification model of a railroad company reached the management limit. Under economic depression, A decrease in the birthrate and aging progressed and passenger transport changed to the downward tendency. Nevertheless, since railroad investment was expanded, railroad achievements got worse and price competitiveness with JR East Japan became weak. But the achievements of a diversification section got worse compared with the railroad enterprise. Therefore, group management was thought as important and enterprise reorganization was developed.

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The Development of Traffic Accident Severity Evaluation Models for Elderly Drivers (고령운전자 교통안전성 평가모형 개발)

  • Kim, Tae-Ho;Lee, Ki-Young;Choi, Yoon-Hwan;Park, Je-Jin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.2
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    • pp.118-127
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    • 2009
  • This study tries to develop model in order to assess personal factors of senior traffic accidents that are widely recognized as one of the social problems. For the current practice. it gathers data (Simulation & Questionnaire Survey) of KOTSA and conducts Poisson and Negative Binomial Regression Analysis to develop traffic accident severity model. The results show that elderly drivers' accidents are mainly affected by attentiveness selection, velocity prediction ability and attentiveness distribution ability in a positive(+) way. Second, non-senior drivers' accidents are also positively(+) influenced by attentiveness selection, velocity prediction, distance perception, attentiveness distribution ability and attentiveness diversion ability. Therefore, influencing factors of senior and non-senior drivers to vehicle accidents are different. This eventually poses a indication that preliminary education for car accident prevention should be implemented based up[n the distinction between senior drivers and non-senior drivers.

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