• 응용통계연구
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• 제18권1호
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• pp.173-182
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• 2005

순서를 갖는 범주형자료의 분석을 위한 중요한 통계적 방법인 순위로짓모형의 대안으로 무정보 사전분포에 의한 베이지안 분계점 모형을 정의하고, 실증 자료분석을 통해 베이지안 모형의 유용성을 살펴보았다.

• 한국주거학회논문집
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• 제26권5호
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• pp.133-141
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• 2015

As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

• 농업과학연구
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• 제50권4호
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• pp.927-940
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• 2023

Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.

• Journal of the Korean Data and Information Science Society
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• 제19권3호
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• pp.735-749
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• 2008

This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.

• 응용통계연구
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• 제18권3호
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• pp.597-606
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• 2005

대개의 표본조사에서 무응답은 필연적으로 발생되고 있고, 직접 표본조사에 참가하지 않은 데이터의 사용자는 무응답의 원인을 알 수 없는 것이 일반적이므로 데이터 분석에 어려움을 갖는다. 또 대부분의 통계분석 방법은 무응답을 전제하지 않고 있어 무응답이 있는 항목은 데이터 분석의 걸림돌이 된다고 하겠다. 최근 무응답에 대해 대체법이 하나의 표준적인 처리 방법이 되고 있어 현재까지 대체법에 대한 많은 연구가 있었으나 대부분의 대체법은 정규성 등을 가정한 연속형 변수의 대체법에 대한 것이었다. 그러나 표본조사에서 많은 중요한 항목들이 순서 범주에 의해 측정되는 경우가 많으므로 범주형변수의 대체법에 대한 연구가 필요하며, 본 연구에서는 보조변수가 있는 경우 Bayesian 모형에 의한 순서범주형 항목의 대체법에 대해 알아본다.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2003년도 추계 학술발표회 논문집
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• pp.179-182
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• 2003

This study describes a new graphical method for assessing and characterizing effect modification by a matching covariate in matched case-control studies. This method to understand effect modification is based on a semiparametric model using a varying coefficient model. The method allows for nonparametric relationships between effect modification and other covariates, or can be useful in suggesting parametric models. This method can be applied to examining effect modification by any ordered categorical or continuous covariates for which cases have been matched with controls. The method applies to effect modification when causality might be reasonably assumed. An example from veterinary medicine is used to demonstrate our approach. The simulation results show that this method, when based on linear, quadratic and nonparametric effect modification, can be more powerful than both a parametric multiplicative model fit and a fully nonparametric generalized additive model fit.

• 대한교통학회지
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• 제31권6호
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• pp.53-66
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• 2013

최근 운전자의 보행자-차량 충돌사고 감소를 목적으로 한 다양한 연구가 수행되고 있으며, 본 연구에서는 보행자-차량 사고 발생 특성 및 심각도 영향요인 분석을 위하여 다양한 분석방법론을 활용한 보행자 교통사고 분석을 수행하였다. 통계모형과 휴리스틱모형 적용시 각 기법에 따른 결과를 도출함으로써 보행자 사고분석시 분석목적에 적합한 방법론을 제시하는 것을 목적으로 하였다. 이를 위하여 최근 3년간 발생한 경기도 교통사고자료(2008-2010년)를 활용하여 보행자 교통사고의 발생특성을 분석하였다. 또한, 통계모형인 이항 로지스틱 회귀분석, 순서형 프로빗 모형을 이용하여 보행자 교통사고 심각도 증가에 통계적으로 유의한 영향을 미치는 변수를 도출하였으며, 휴리스틱모형인 서포트 벡터 머신, 의사결정나무를 적용하여 교통사고 심각도 분류를 위한 모형을 개발하고 그 결과를 비교분석 하였다. 본 연구의 분석결과는 보행자 교통안전분석의 기초자료로 활용할 수 있으며 향후 국내 보행자-차량 충돌사고 분석시 유용하게 활용될 수 있을 것으로 기대된다.

• 국토계획
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• 제54권3호
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• pp.49-62
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• 2019

In order to balance with supply policy, public housing management and operation policies have been implemented in terms of housing welfare, but citizens have not yet achieved the results that the citizens are experiencing. The purpose of this study is to analysis the residential satisfaction of the including the housing performance through the characteristics of the public housing residents in Seoul. The data used in this study is based on the survey data of public housing panel survey in Seoul (2016). The study method used ordered logistic regression analysis based on the fact that dependent variables appeared as ordered responses. Major research results are as follows. Firstly, housing performance and residential satisfaction may not match. Even though the satisfaction of housing area, type, and management fee is high, satisfaction with residential environment is low if commuting distance, the number of small libraries, and hospitals are small. Secondly, it showed different characteristics of residential environment factors among types of public housing. Rather than focusing on supply, customized supply is needed considering characteristics of public housing types. Thirdly, the policy for public housing needs to be realized by a fair policy on the residential environment. It is necessary to contribute to better housing stability as a customized policy considering the local residential environment.

• 산업경영시스템학회지
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• 제32권3호
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• pp.135-141
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• 2009

A variety of statistical methods are applied to model and optimize responses, related to product or system's quality, in terms of control and noise factors at design and manufacturing stages. Most of them assume continuous response variables but, assessing the performance of a product or system often involves categorical observations, such as ratings and scores. Although most previous works to deal with the categorical data provide sorhisticated response models and ensure unbiased outcomes, they require heavy computation to estimate the model parameters, as well as enough replications. In this study, we present some practical approaches for optimal parameter design with ordered categorical response when only a few or no replication is available. Two real-life examples are given to illustrate the presented methods.

• 한국지리정보학회지
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• 제26권3호
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• pp.1-11
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• 2023

코로나19의 확산으로 도심의 대량 수송을 책임지는 대중교통 수요가 급격하게 감소하였다. 본 연구에서 코로나19 확산 전 2019년과 확산이 시작된 2020년의 부산광역시 대중교통 카드 데이터를 빅데이터 분석한 결과, 일 평균 92만 통행이 감소하는 것으로 나타났다. 또한, 개별 정류장 단위로 조사한 코로나19 확산 전후의 대중교통 통행량을 읍면동 단위로 통합한 후, 읍면동 단위의 대중교통 통행량 증감 비율을 종속변수로 하고 읍면동의 다양한 특성을 독립변수로 하는 순서형 로지스틱 회귀분석을 통해 대중교통 411수요변화에 유의미한 영향을 미치는 요인을 분석하였다. 그 결과, 기초생활수급자의 비율, 공업지의 면적 비율, 그리고 등교 통행 비율이 높은 읍면동은 코로나19의 확산에도 불구하고 대중교통에 대한 의존도가 높아 대중교통의 수요변화가 크게 나타나지 않았지만, 철도수단 분담률이 높은 읍면동은 코로나19 확산에 따라 대중교통 이용자 수가 큰 폭으로 감소하는 것으로 나타났다. 따라서, 코로나19와 같은 응급 상황에 효율적으로 대응하기 위해서는 획일적인 교통정책보다는 지역의 특성을 고려한 차별적인 교통정책의 수립과 집행이 필요하다.