• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.211-221
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• 2001

본 논문에서는 2$\times$2 분할표의 주변동질성 검정에서 사용될 수 있는 통계량들을 소개하고, 이 통계량들을 비교하였다. 먼저 주변동질성 검정에 민감하게 영향을 주는 모수를 정의한 후에 이 모수들의 효과를 예시하였다. 또한 이 모수들을 이용하여 모의실험을 통해여러 검정법들을 비교해본 결과 McNemar 검정이 다른 검정력보다 더 좋은 성질을 가지고 있음을 보였다.

• Communications for Statistical Applications and Methods
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• v.15 no.4
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• pp.605-614
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• 2008

Oh (2008) has proposed the one-sided likelihood ratio test of the equality of two agreement measures. However the use of this test may be limited since the computations of test statistic and critical value are not easy. We propose a test for comparing two dependent agreements using some well known tests for marginal homogeneity, for instance, Bhapkar test, Stuart-Maxwell test. Data obtained from 2008 world figure skating championship ladies single is analyzed for illustration purposes.

• Journal of Korea Water Resources Association
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• v.51 no.5
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• pp.383-393
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• 2018

The regional frequency analysis is the method which uses not only sample of target station but also sample of neighborhood stations in which are classified as hydrological homogeneous regions. Consequently, identification of homogeneous regions is a very important process in regional frequency analysis. In this study, homogeneous regions for regional frequency analysis of precipitation were identified by the self-organizing map (SOM) which is one of the artificial neural network. Geographical information and hourly rainfall data set were used in order to perform the SOM. Quantization error and topographic error were computed for identifying the optimal SOM map. As a result, the SOM model organized by $7{\times}6$ array with 42 nodes was selected and the selected stations were classified into 6 clusters for rainfall regional frequency analysis. According to results of the heterogeneity measure, all 6 clusters were identified as homogeneous regions and showed more homogeneous regions compared with the result of previous study.

• The Korean Journal of Applied Statistics
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• v.21 no.2
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• pp.291-299
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• 2008

This paper discusses model building for repeated binary response data with different time-dependent covariates each occasion. Since repeated measurements data are having correlated structure, weighed least squares(WLS) methodology is applied. Repeated measures designs are usually having different sizes of experimental units like split-plot designs. However repeated measures designs differ from split-plot designs in that the levels of one or more factors cannot be randomly assigned to one or more of the sizes of experimental units in the experiment. In this case, the levels of time cannot be assigned at random to the time intervals. Because of this nonrandom assignment, the errors corresponding to the respective experimental units may have a covariance matrix. So, the estimates of effects included in a suggested logit model are obtained by using covariance structures.

• Journal of Korean Society of Transportation
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• v.27 no.4
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• pp.207-215
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• 2009

Generally, traffic accidents can be influenced by variables driving conditions including geometric, roadside design, and traffic conditions. Under the circumstance, homogeneous roadway segments were firstly identified using typical geometric variables obtained from field data collections in this study. These field data collections were conducted at highways located in several areas having various regional conditions for examples, outside metropolitan city; level and rolling rural areas. Due to many zero cells in crash database, a Zero Inflated Poisson model was used to develop crash prediction model to overestimated results in this study. It was found that EXPO, radius, grade, guardrail, mountainous terrain, crosswalk and bus-stop have statistically significant influence on vehicle to vehicle crashes at rural multi-lane roadway segments.

• Investigative Magnetic Resonance Imaging
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• v.3 no.2
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• pp.179-187
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• 1999

Purpose : This paper introduces a computationally inexpensive context-dependent classification of multi-echo MRI with Bayes compound decision model. In order to produce accurate region segmentation especially in homogeneous area and along boundaries of the regions, we propose a classification method that uses contextual information of local enighborhood system in the image. Material and Methods : The performance of the context free classifier over a statistically heterogeneous image can be improved if the local stationary regions in the image are disassociated from each other through the mechanism of the interaction parameters defined at he local neighborhood level. In order to improve the classification accuracy, we use the contextual information which resolves ambiguities in the class assignment of a pattern based on the labels of the neighboring patterns in classifying the image. Since the data immediately surrounding a given pixel is intimately associated with this given pixel., then if the true nature of the surrounding pixel is known this can be used to extract the true nature of the given pixel. The proposed context-dependent compound decision model uses the compound Bayes decision rule with the contextual information. As for the contextual information in the model, the directional transition probabilities estimated from the local neighborhood system are used for the interaction parameters. Results : The context-dependent classification paradigm with compound Bayesian model for multi-echo MR images is developed. Compared to context free classification which does not consider contextual information, context-dependent classifier show improved classification results especially in homogeneous and along boundaries of regions since contextual information is used during the classification. Conclusion : We introduce a new paradigm to classify multi-echo MRI using clustering analysis and Bayesian compound decision model to improve the classification results.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.404-404
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• 2022

효율적인 수자원 관리를 위해 빈도해석을 통한 수문 자료의 통계적 특성을 고려하여 정확한 확률강수량을 산정해야 한다. 지점빈도해석은 지점 자료만을 이용하여 확률강수량을 산정하기 때문에 정확도를 높이기 위해서는 자료 확충이 필요하지만, 지점별로 활용할 수 있는 자료가 제한적이며 지점마다 변동성이 크다. 지역빈도해석은 수문기상학적으로 동질한 주변 지점들의 자료를 모두 포함해서 빈도해석을 수행함으로써 지역에 대한 통합 결과를 제시하고 자료에 대한 신뢰성 확보가 가능하다. 일반적으로 빈도해석은 자료에 적합한 확률분포 기반으로 수행되지만 확률분포 선정과정에 따라 결과는 상이하다. 본 연구에서는 지역빈도해석에서 확률강수량 산정방법으로 Quantile Regression(QR)을 적용하였다. QR 기반의 빈도해석은 확률분포 아니라 자료 자체로 확률강수량을 산정하여 기존의 확률분포 기반의 빈도해석에서 발생했던 불확실성을 개선하였다. 또는, 확률강수량의 시간에 따른 변동성도 고려되어 바정상성 빈도해석도 가능하다. 최종적으로 본 연구에서 소개된 지역빈도해석 결과와 기존의 지역빈도해석 결과 비교 검증하였다.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.6
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• pp.161-172
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• 2012

The purpose of this study is to classify, evaluate and grade the existing highway tunnels to increase landscape and natural statistics keeping the structural safety about tunnel gates area and induce the ones that will be constructed in the future by drawing the improvements and restoring the techniques as an environment-friendly. To examine the types of tunnel gate area, total 54 tunnels were investigated by selecting Gyeongbu Expressway, Yeongdong Expressway, and Jungang Expressway. Tunnel entrances and exit ports were classified as a Wall-closed type and Protruding type, which is based on tunnel gate type. Vegetation Landscape types were classified as Multilayer-Same as the surrounding landscape_(MS), Multilayer-Difference of surrounding landscape_(MD), Single layer-Same as the surrounding landscape_(SS), Single layer-Difference of surrounding landscape_(SD), and a Desolate type which based on vegetation layers and environment-friendly. Potential vegetation recovery was identified based on the structural stability and revegetation potential of the tunnel. The factors include the structural stability of the slope height and slope gradient were selected. Revegetation potential was identified as a growth potential. This factor was used in the step to classify vegetation recovery potential of a tunnel. The result, which investigated the types of tunnel entrances and exit parts has found that the most typical in 33 places was a Wall closed type with 61.1% of the total ones. The case of vegetation landscape types was created but different from the ones surrounding it with 85.2% of the total ones. It is judged that the currently constructed vegetation of tunnel entrance and exit parts had put convenience on the safety and management before landscape consideration. In addition, tunnel entrance and exit parts with excellent potential for vegetation recovery were all Protruding type. In addition, it is judged that slope stability can easily obtain growth. Therefore, entrance and exist of the highway tunnels, which will be constructed in the future, should reflect location and the result of the natural and ecological survey in design by performing it in advance and their types, which minimize the damage area range, should be applied to the local characteristics suitably. In addition, the ecologically healthy tunnel construction should be done by introducing active vegetation recovery techniques based on its safety.

• Journal of Conservation Science
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• v.30 no.2
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• pp.189-203
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• 2014

In this study, the identification and distribution for rock types of the South Gate Wall of Myeoncheoneupseong Town Wall in Dangjin was investigated, and the homogeneity analysis of rock properties in the wall between the surrounding out crops estimated by examining the possible provenances. The Town Wall consists of variable rock types about 15 kinds. Granitic rocks (61.0%), quartzite (21.0%) and quartz feldspar porphyry (8.7%) accounted over 90% of total survey section. These rock properties are very similar to surrounding rocks of the Town Wall on the basis of occurrences, magnetic susceptibility, petrography, mineralogical and goechemical characteristics. Thus, it is probable that the rock properties of the Town Wall were supplied from the Town Wall around about 8km within at Seongsangri, Yangyuri, Seongbukri, Galsanri and Daedeokdong area. And supplied rock properties in the construction process, easy procurement rather than rock type was most likely seems to be considered.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.601-602
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• 2020

본 연구에서는 질적연구방법인 Q방법론을 적용하여 대학생들을 대상으로 학과 점퍼에 대해서 어떤 생각을 가지고 있는지에 대한 주관적 평가와 인식 유형별 특성을 알아보고자 하였다. 제1유형의 경우 학과 점퍼는 학과에 대한 소속감을 주고 학과를 홍보하는 역할을 한다고 인식하였다. 또, 학과 점퍼를 착용하면 행동을 조심하게 되지만, 활동이 편하고 주변 사람들의 좋은 평가를 이끌어내며 나의 신뢰감을 높여주는 효과가 있다고 생각하는 것으로 분석되었다. 제2유형의 경우 학과 점퍼는 활동하기 편하고 유행을 따르지 않는 무난한 디자인이라 만족스러우며, 학교 갈 때 늘 착용한다고 하였다. 제3유형은 학과 점퍼를 착용하면 동질감과 소속감을 준다고 하였고, 학과 점퍼가 유행을 따라가는 스타일이면 좋겠다고 생각하며 학과 점퍼 착용에 긍정적이고 잘 맞는다고 생각하는 유형이다. 대학생들의 학과 점퍼도 하나의 유니폼으로써 기능을 할 수 있도록 학과의 이미지나 상징성을 잘 나타내고, 활동량이 많은 대학생들의 신체적 특징을 반영하여 맞음새가 우수한 학과 점퍼가 개발되어야 할 것으로 생각된다.