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		<title>RSS 게시판 2.0</title>
		<link>/usr/local/tomcat/webapps/ROOT/sites/yschoi/</link>
		<description><![CDATA[This is RSS Board.]]></description>
		<language>ko</language>
		
		
			
			
			
				
					
						
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								<title><![CDATA[(2025)A Study on Methods for Imputation of Missing Values  in Survey Response, Journal of The Korean Data Analysis Society, 27(5).}]]></title>
								<link>/bbs/yschoi/2535/1458023/artclView.do?layout=unknown</link>
								<pubDate>2025-09-15 15:35:27.417</pubDate>
								<author>최용석</author>
								<description><![CDATA[Several statistical imputation methods can be applied to deal with the problem of missing values in survey responses, which reduce the efficiency of the survey research in terms of time and cost. In particular, this study intends to apply a total of four analysis techniques, including MICE, MissFore]]></description>
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								<title><![CDATA[(2025)Bootstrap  Methods  for  MANOVA  and  GPA  of Socio-Economic  Factors  in  District  Cluster  of  Russia, Communications for Statistical Applications and Methods, 32(5).}]]></title>
								<link>/bbs/yschoi/2535/1458022/artclView.do?layout=unknown</link>
								<pubDate>2025-09-15 15:32:39.253</pubDate>
								<author>최용석</author>
								<description><![CDATA[This paper presents a comprehensive analysis of socio-economic and demographic variables across four clusters formed on the basis of the Federal and Military Districts of the Russian Federation. The x-x-objective is to identify regional disparities and economic imbalances through multivariate assess]]></description>
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								<title><![CDATA[(2025)Classification models using the conversion of shape landmark data, Journal of The Korean Data Analysis Society (JKDAS), 27(2), 451-463.}]]></title>
								<link>/bbs/yschoi/2535/1458021/artclView.do?layout=unknown</link>
								<pubDate>2025-09-15 15:29:04.577</pubDate>
								<author>최용석</author>
								<description><![CDATA[https://scholar.kyobobook.co.kr/article/detail/4010070810964 Dryden, Mardia (2016) define shape analysis as an analysis that measures and describes the shapes of x-x-objects represented by landmarks in geometric space and compares them. The shape point data used for shape analysis has the form of an]]></description>
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								<title><![CDATA[(2025)Stock Price Prediction utilizing Sentiment Scores Based on Fin-BERT Models , Journal of The Korean Data Analysis Society (JKDAS), 27(1), 31-43}]]></title>
								<link>/bbs/yschoi/2535/1458020/artclView.do?layout=unknown</link>
								<pubDate>2025-09-15 15:25:14.617</pubDate>
								<author>최용석</author>
								<description><![CDATA[ https://scholar.kyobobook.co.kr/article/detail/4010070472339  Economic and technological advancements have led to a growing interest in stocks for many people. Investors want to make profits, which has led to the creation of many stock price prediction models using machine learning and deep learnin]]></description>
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								<title><![CDATA[Jung, J. and Choi, Y.S.(2024). SMOTE by Mahalanobis distance using MCD in imbalanced data, The Korean Journal of Applied Statistics, 37(4), 455-465.}]]></title>
								<link>/bbs/yschoi/2535/1458019/artclView.do?layout=unknown</link>
								<pubDate>2024-09-10 14:07:44.23</pubDate>
								<author>최용석</author>
								<description><![CDATA[Jung, J. and Choi, Y.S.(2024). SMOTE by Mahalanobis distance using MCD in imbalanced data, The Korean Journal of Applied Statistics, 37(4), 455-465. SMOTE (synthetic minority over-sampling technique) has been used the most as a solution to the problem ofimbalanced data. SMOTE selects the nearest nei]]></description>
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								<title><![CDATA[Hu, X, Kim, YJ, Kim JH and Choi, Y(2022). A Study on China’s Divorce Rate using Structural Equation Model, Journal of The Korean Data Analysis Society, 24(6), 2169-2183.}]]></title>
								<link>/bbs/yschoi/2535/1458018/artclView.do?layout=unknown</link>
								<pubDate>2024-03-05 14:13:35.287</pubDate>
								<author>최용석</author>
								<description><![CDATA[Hu, X, Kim, YJ, Kim JH and Choi, Y(2022). A Study on China’s Divorce Rate using Structural Equation Model, Journal of The Korean Data Analysis Society, 24(6), 2169-2183. AbstractIn recent years, the divorce rate for China has been rising year by year. Based on the crude divorce rate from 2001 to 201]]></description>
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								<title><![CDATA[Lee, S, Kim, J, Choi, Y and Choi, Y(2024). Classification and discrimination of excel radial charts using  the  statistical  shape  analysis, The  Korean  Journal of Applied Statistics, 27(1), 73-86. }]]></title>
								<link>/bbs/yschoi/2535/1458017/artclView.do?layout=unknown</link>
								<pubDate>2024-03-05 14:04:29.207</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee, S, Kim, J, Choi, Y and Choi, Y(2024). Classification and discrimination of excel radial charts using  the  statistical  shape  analysis, The  Korean  Journal of Applied Statistics, 27(1), 73-86. AbstractA radial chart of Excel is very useful graphical method in delivering information for numeri]]></description>
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								<title><![CDATA[Choi, S, Kazakova, A, Choi, K, Choi, Y and Kim, I(2023). Effects of Residents  Empowerment on Citizenship Behavior and Support for Convention Development: Moderation of Innovativeness, Sustainability, 15(18), 1-14.}]]></title>
								<link>/bbs/yschoi/2535/1458016/artclView.do?layout=unknown</link>
								<pubDate>2024-03-05 14:00:47.1</pubDate>
								<author>최용석</author>
								<description><![CDATA[Choi, S, Kazakova, A, Choi, K, Choi, Y and Kim, I(2023). Effects of Residents&#039; Empowerment on Citizenship Behavior and Support for Convention Development: Moderation of Innovativeness, Sustainability, 15(18), 1-14. Abstract: This study investigated how residents’ empowerment in?uences their engageme]]></description>
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								<title><![CDATA[Seol, J, Jung, J, Choi, Y and Choi, Y(2023). Supervised text data augmentation method for deep neural networks, Communications for Statistical Applications and Methods, 30(3), 343-354.}]]></title>
								<link>/bbs/yschoi/2535/1458015/artclView.do?layout=unknown</link>
								<pubDate>2024-03-05 13:56:00.75</pubDate>
								<author>최용석</author>
								<description><![CDATA[Seol, J, Jung, J., Choi, Y. and Choi, Y.(2023). Supervised text data augmentation method for deep neural networks, Communications for Statistical Applications and Methods, 30(3), 343-354. Recently, there have been many improvements in general language models using architectures such as GPT-3 propose]]></description>
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								<title><![CDATA[Sang ,M.S. Kim, JH. and  Choi, Y.S.(2023). Estimation of missing landmarks in statistical shape analysis, Communications for Statistical Applications and Methods , 30( 1), 37?48.}]]></title>
								<link>/bbs/yschoi/2535/1458014/artclView.do?layout=unknown</link>
								<pubDate>2023-02-03 12:47:38.383</pubDate>
								<author>최용석</author>
								<description><![CDATA[Abstract Shape analysis is a method for measuring, describing and comparing the shape of x-x-x-objects in geometric space.An important aspect is to obtain Procrustes distance based on least square method. We note that the shape isall the geometrical information that remains when location, scale and ]]></description>
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								<title><![CDATA[Lee, B.H, Ryu,.S.W. and Choi, Y.S.(2021). vlda: An R Package for Statistical Visualization of Multidimensional Longitudinal Data, Communications for Statistical Applications and Methods, 28(4), 369-391.}]]></title>
								<link>/bbs/yschoi/2535/1458013/artclView.do?layout=unknown</link>
								<pubDate>2021-05-26 14:21:35.13</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee, B.H., Ryu, S.W. and Choi, Y.S.(2021). vlda: An R Package for Statistical Visualization of Multidimensional Longitudinal Data, Communications for Statistical Applications and Methods, 28(4), 369-391. SCOPUS The vlda is an R (R Development Core Team et al., 2011) package which provides functions ]]></description>
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								<title><![CDATA[Lee, B.H, Kim, T.H. and Choi, Y.S.(2021). Discriminant analysis for unbalanced data using HDBSCAN, The Korean Journal of Applied Statistics,34(4), 599-609.}]]></title>
								<link>/bbs/yschoi/2535/1458012/artclView.do?layout=unknown</link>
								<pubDate>2021-04-28 13:33:20.16</pubDate>
								<author>최용석</author>
								<description><![CDATA[ Lee, B.H., Kim, T.H. and Choi, Y.S.(2021). Discriminant analysis for unbalanced data using HDBSCAN, The Korean Journal of Applied Statistics, 50th Anniversary Special Issue, 34(4), 599-609 (2021.08) Data with large differences in population proportions are called unbalanced data. In the discriminan]]></description>
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								<title><![CDATA[Lee, B.H.  Lee, S.J. and  Choi, Y.S.(2020). Document classification using a deep neural network in text mining, The Korean Journal of Applied Statistics, 33(5), 1-11(2020.10) }]]></title>
								<link>/bbs/yschoi/2535/1458011/artclView.do?layout=unknown</link>
								<pubDate>2020-09-09 13:38:53.197</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee, B.H.  Lee, S.J. and  Choi, Y.S.(2020). Document classification using a deep neural network in text mining,  AbstractThe document-term frequency matrix is a term extracted from the documetns in which the group informa-tion exists in text mining. In this study, we generated the document-term freq]]></description>
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								<title><![CDATA[Jung, M.J., Shin, S.M. and Choi, Y.S.(2019). Creation and clustering of proximity data for text data, The Korean Journal of Applied Statistics, 32(3), 451-462.(2019.06)}]]></title>
								<link>/bbs/yschoi/2535/1458010/artclView.do?layout=unknown</link>
								<pubDate>2019-10-15 14:06:17.867</pubDate>
								<author>최용석</author>
								<description><![CDATA[Jung, M.J., Shin, S.M. and Choi, Y.S(2019). Creation and clustering of proximity data for text data analysis, The Korean Journal of Applied Statistics, 32(3), 451-462. AbstractDocument-term frequency matrix is a type of data used in text mining. This matrix is often based on variousdocuments provide]]></description>
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								<title><![CDATA[Jeong, H.Y.  Shin, S.M. and  Choi, Y.S.(2019). Comparison of Term Weighting Schemes for Document Classifcation, The Korean Journal of Applied Statistics, 32(2), 265-276(2019.04)}]]></title>
								<link>/bbs/yschoi/2535/1458009/artclView.do?layout=unknown</link>
								<pubDate>2019-02-21 10:51:49.897</pubDate>
								<author>최용석</author>
								<description><![CDATA[Ho Young Jeong, Sang Min Shin, and Yong-Seok Choi(2019). Comparison of Term Weighting Schemes for Document Classification, The Korean Journal of Applied Statistics, 32(2), 265-276(2019.04) 문서 분류를 위한 용어 가중치 기법 비교 AbstractThe document-term frequency matrix is a general data of x-objects in text mining]]></description>
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								<title><![CDATA[Ahn MS, Shin SM, Choi YS, et al.(2019). Analysis of the relationship between the morphology of the palate and facial skeletal patterns in Class III malocclusion using structural equation modelling, Orthodontics &amp; Craniofacial Research, 22(2), 87-92(2019.04)}]]></title>
								<link>/bbs/yschoi/2535/1458008/artclView.do?layout=unknown</link>
								<pubDate>2019-02-21 10:22:08.007</pubDate>
								<author>최용석</author>
								<description><![CDATA[SCIEhttps://doi.org/10.1111/ocr.12283 Analysis of the relationship between the morphology of thepalate and facial skeletal patterns in Class III malocclusion usingstructural equation modelling Mi So Ahn1 | Sang Min Shin2 | Yong-Seok Choi3 | Te-Ju Wu4 | Ching-Chang Ko5 |Tetsutaro Yamaguchi6 | Koutaro]]></description>
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								<title><![CDATA[Hyun, G.H. Lee,  B.H. and Choi, Y.S.(2018). Resistant GPA algorithms based on the M and LMS estimation, Communications for Statistical Applications and Methods, 25(6), 673-685(2018.11)}]]></title>
								<link>/bbs/yschoi/2535/1458007/artclView.do?layout=unknown</link>
								<pubDate>2019-01-03 10:30:31.42</pubDate>
								<author>최용석</author>
								<description><![CDATA[AbstractProcrustes analysis is a useful technique useful to measure, compare shape differences and estimate a meanshape for objects; however it is based on a least squares criterion and is affected by some outliers. Therefore,we propose two generalized Procrustes analysis methods based on M-estimati]]></description>
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								<title><![CDATA[Shin, S.M., Choi, Y.S. and Kim, Y.I. et al. (2018).Morphometric analysis of the maxillary root apex positions according to crowding severity, ORTHODONTICS &amp; CRANIOFACIAL RESEARCH, 20(4), 202-208}]]></title>
								<link>/bbs/yschoi/2535/1458006/artclView.do?layout=unknown</link>
								<pubDate>2018-11-22 11:41:23.58</pubDate>
								<author>최용석</author>
								<description><![CDATA[Morphometric analysis of the maxillary root apex positions according to crowding severity, ORTHODONTICS   CRANIOFACIAL RESEARCH, 20(4), 202-208]]></description>
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								<title><![CDATA[Shin, S. M., Choi, Y.S., and Kim, Y.I. et al.(2018). Comparison of temporomandibular joint shape and size in patients with facial asymmetry, 1(1), ORAL RADIOLOGY, Springer.}]]></title>
								<link>/bbs/yschoi/2535/1458005/artclView.do?layout=unknown</link>
								<pubDate>2018-09-04 11:37:23.263</pubDate>
								<author>최용석</author>
								<description><![CDATA[SCIE Abstract ObjectiveTo examine the morphologic similarities and differences in mandibular condyle and glenoid fossa between the deviated and non-deviated sides in patients with facial asymmetry using statistical analysis.MethodsOne hundred eighty-four patients (95 men, 89 women; mean age, 22.30?±]]></description>
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								<title><![CDATA[ Shin, S.M,, Choi, Y.S. and Kim, Y.I.  et al.(2018). Morphometric analysis for evaluating the relation between incisal guidance angle, occlusal plane angle, and functional temporomandibular joint shape variation, ACTA ODONTOLOGICA SCANDINAVICA, 76(4): 287-293, 2018 }]]></title>
								<link>/bbs/yschoi/2535/1458004/artclView.do?layout=unknown</link>
								<pubDate>2018-05-25 14:40:03.943</pubDate>
								<author>최용석</author>
								<description><![CDATA[5-Year IF = 1.387Objective: The correlations between morphology of the temporomandibular joint structure, the anterior guidance angle, and occlusal plane were investigated. Materials and methods: A cone beam computed tomography analysis was performed in 158 patients (86 women and 72 men). 3D softwar]]></description>
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								<title><![CDATA[Shin, S.M., Chun, S.K. and Choi, Y.S.(2018). Multidimensional scaling of categorical data using the partition method, The Korean Journal of Applied Statistics, 31(1), 67-75.}]]></title>
								<link>/bbs/yschoi/2535/1458003/artclView.do?layout=unknown</link>
								<pubDate>2017-12-13 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Sang-Min Shin, Sun-Kyung Chun, Yong-Seok Choi  (2018). Multidimensional Scaling of Categorical Data Using the Partition Method,   Multidimensional scaling (MDS) is exploratory analysis of multivariate data to represent the dissimilarityamong x-objects in the geometric low-dimensional space. However,]]></description>
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								<title><![CDATA[Lee, B.H., Choi, Y.S.and  Min, D.S. et al.(2017), Phospholipase D1 inhibition linked to up-regulation of ICAT blocks colorectal cancer growth hyperactivated by Wnt/β-catenin and PI3K/Akt Signaling, Clinical Cancer Research,DOI: 10.1158/1078-0432.CCR-17-0749}]]></title>
								<link>/bbs/yschoi/2535/1458002/artclView.do?layout=unknown</link>
								<pubDate>2017-11-07 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Phospholipase D1 inhibition linked to up-regulation of ICAT blocks colorectal cancer growth hyperactivated by Wnt/β-catenin and PI3K/Akt Signaling, Clinical Cancer Research.. 2017, Accepted in Aug.연구내용: Wnt/β-catenin과 PI3K/Akt 신호전달 경로가 Wnt/β-catenin signaling의 negative regulator로 알려진 ICAT을 통하여 상호 cr]]></description>
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								<title><![CDATA[Nam, S.C. and Choi, Y.S.(2017). Non-parametric Approach for the Grouped Dissimilarities Using the Multidimensional Scaling and Analysis of Distance, The Korean Journal of  Applied Statistics, 27(1), The Korean Statistical Society, }]]></title>
								<link>/bbs/yschoi/2535/1458001/artclView.do?layout=unknown</link>
								<pubDate>2017-07-03 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[AbstractIn general, grouped multivariate data can be tested for the differences between two or more groups using multivariate analysis of variance (MANOVA). However, if several assumptions of MANOVA are violated, this method cannot be used. In this case, multidimensional scaling(MDS) and analysis of]]></description>
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								<title><![CDATA[Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2017). Qualitative correlation between postoperatively increased vertical dimension and mandibular position in skeletal class III using partial-least-square path modeling, JKAMPRS,  Korean association of maxillogacial plastic and reconstructive surgeons, 39, 15-23.(2017.06)}]]></title>
								<link>/bbs/yschoi/2535/1458000/artclView.do?layout=unknown</link>
								<pubDate>2017-06-09 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2017). Qualitative correlation between postoperatively increased vertical dimension and mandibular position in skeletal class III using partial-least-square path modeling, JKAMPRS, Korean association of maxillogacial plastic and reconstructive surgeons, 39,15]]></description>
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								<title><![CDATA[Shin, S.M. , Kim, Y.I., and Choi, Y.S. et al.(2017). The estimation of skeletal maturity of patients with cleft lip and palate using statistical shape analysis : a preliminary study, Dentomaxillofacial Radiology, 1,  the British Institute of Radiology, 1-5.(2017.06)}]]></title>
								<link>/bbs/yschoi/2535/1457999/artclView.do?layout=unknown</link>
								<pubDate>2017-04-17 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[DOI: 10.1259/dmfr.20160491 The estimation of skeletal maturity of patients with cleft lip and palate using statistical shape analysis: a preliminary study, DENTOMAXILLOFACIAL RADIOLOGY,the British Institute of Radiology, 1-5.(2017.06) AbstractObjective:To propose a skeletal maturity assessment metho]]></description>
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								<title><![CDATA[Recent Submitted Papers}]]></title>
								<link>/bbs/yschoi/2535/1457998/artclView.do?layout=unknown</link>
								<pubDate>2016-12-29 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[- Shin, S.M. and Choi, Y.S.(2016). Esitimation of Missing Landmarks in Statistical Shape Analysis, submitted.- Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2016). Morphometric comparison of the root apex positions according to crowding severity, submitted in  Orthodontics and Craniofacial Research.  - S]]></description>
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								<title><![CDATA[Lee, B.H., Min, D.S. and Choi, Y.S. et al.(2017),  Phospholipase D1 promotes survival and self-renewal of colorectal cancer cells by suppressing the E2F1-dependent apoptotic program via activation of RB1 and Akt/TopBP1,   Cancer Research, 76(21)(2017.01).}]]></title>
								<link>/bbs/yschoi/2535/1457997/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Phospholipase D1 Acts through Akt/TopBP1 andRB1 to Regulate the E2F1-Dependent ApoptoticProgram in Cancer Cells]]></description>
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								<title><![CDATA[Shin, S.M., Choi, Y.S. et al.(2017). Preliminary Study to Determine the Reference Plane of Patients With a Unilateral Cleft Lip and Palate, Cleft Palate-Craniofacial Journal, Alliance Communications Group Division Allen(2017.11)  }]]></title>
								<link>/bbs/yschoi/2535/1457996/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Na-Ri Kim, D.D.S., Soo-Byung Park, Ph.D., Sang Min Shin, Ph.D., Yong-Seok Choi, Ph.D., Seong-Sik Kim, Ph.D., Woo-Sung Son, Ph.D., Yong-Il Kim, Ph.D.reference planes for unilateral cleft lip and palate (UCLP) patients that can be easily applied in aclinical setting.Design: This was a retrospective an]]></description>
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								<title><![CDATA[Shin, S.M.,  Choi, Y.S. et al.(2016).Statistical shape analysis-based determination of optimal midsagittal reference plane for evaluation of facial asymmetry, AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 150(8), 252-260.(2016.08). }]]></title>
								<link>/bbs/yschoi/2535/1457995/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Shin, S.M.,  Choi, Y.S. et al.(2016).Statistical shape analysis-based determination of optimal midsagittal reference plane for evaluation of facial asymmetry, AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 150(8), 252-260.(2016.08). ]]></description>
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								<title><![CDATA[Shin, S.M., Park, J.S., Choi, Y.S. (2016). The mixed h-plot for continuous and categorical data, 18(1), Journal of the Korean Data Analysis Society(2016.02). }]]></title>
								<link>/bbs/yschoi/2535/1457994/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Shin, S.M., Park, J.S., Choi, Y.S. (2016). The mixed h-plot for continuous and categorical data, 18(1), Journal of the Korean Data Analysis Society(2016.02). ]]></description>
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								<title><![CDATA[Shin, S.M.,Kim, E.S. and Choi, Y.S. (2015). Multidimensional saling using the pseudo-points based on partition method,The Korean Journal of Applied Statistics,   28(6), 1171-1180.DOI: http://dx.doi.org/10.5351/KJAS.2015.28.6.1171 (2015.12).}]]></title>
								<link>/bbs/yschoi/2535/1457993/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Shin, S.M.,Kim, E.S. and Choi, Y.S. (2015). Multidimensional saling using the pseudo-points based on partition method,The Korean Journal of Applied Statistics,   28(6), 1171-1180.DOI: http://dx.doi.org/10.5351/KJAS.2015.28.6.1171 (2015.12).]]></description>
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								<title><![CDATA[S.G., Lee and Choi, Y.S. et al.(2015). Interactive Statistics Laboratory in R using Sage,  J. Korean Soc. Math. Ed. Ser. E:, Communications of Mathematical Education , 29(4), 573-588.(2015.11) }]]></title>
								<link>/bbs/yschoi/2535/1457992/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[S.G., Lee and Choi, Y.S. et al.(2015). Interactive Statistics Laboratory in R using Sage,  J. Korean Soc. Math. Ed. Ser. E:, Communications of Mathematical Education , 29(4), 573-588.(2015.11) ]]></description>
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								<title><![CDATA[Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2015). Application of statistical shape analysis for the estimation of bone and forensic age using the shapes of the 2nd, 3rd and 4th cervical vertebrae in a young Japanese population, Forensic Science International, doi:10.1016/j.forsciint.2015.08.018.(2015.08).}]]></title>
								<link>/bbs/yschoi/2535/1457991/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2015). Application of statistical shape analysis for the estimation of bone and forensic age using the shapes of the 2nd, 3rd and 4th cervical vertebrae in a young Japanese population, Forensic Science International, doi:10.1016/j.forsciint.2015.08.018.(2015.]]></description>
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								<title><![CDATA[Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2015). The skeletal maturation status estimated by statistical shape analysis: axial images of Japanese cervical vertebra, Dentomaxillofacial Radiolog, The British Institute of Radiolog,  44(3), 20140323(2015.03).}]]></title>
								<link>/bbs/yschoi/2535/1457990/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Shin, S.M., Kim, Y.I., Choi, Y.S. et al.(2015). The skeletal maturation status estimated by statistical shape analysis: axial images of Japanese cervical vertebra, Dentomaxillofacial Radiolog, The British Institute of Radiolog,  44(3), 20140323(2015.03).]]></description>
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								<title><![CDATA[Gim, J.A. Lee, S.G., Choi, Y.S. and Kim, H.S. et al.(2015). HEpD: A database describing epigenetic differences between Thoroughbred and Jeju horses, Gene, 560(1), 83-88(2015.04).}]]></title>
								<link>/bbs/yschoi/2535/1457989/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Gim, J.A. Lee, S.G., Choi, Y.S. and Kim, H.S. et al.(2015). HEpD: A database describing epigenetic differences between Thoroughbred and Jeju horses, Gene, 560(1), 83-88(2015.04).]]></description>
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								<title><![CDATA[Gim, J.A. Lee, S.G., Choi, Y.S. and Kim, H.S. et al.(2015). HExDB: a database for epigenetic changes occurring after horse exercise, Genes&amp;Genomics, 37(3), 287-294(Published online: 02 December).}]]></title>
								<link>/bbs/yschoi/2535/1457988/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Gim, J.A. Lee, S.G., Choi, Y.S. and Kim, H.S. et al.(2015). HExDB: a database for epigenetic changes occurring after horse exercise, Genes&amp;Genomics, 37(3), 287-294(Published online: 02 December).]]></description>
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								<title><![CDATA[Lee , C. and Choi, Y.S. (2014). Visualizations for Matched Pairs Models Using Modified Correspondence Analysis, Communications for Statistical Applications and Methods, 21(4), 275-284.  }]]></title>
								<link>/bbs/yschoi/2535/1457987/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee , C. and Choi, Y.S. (2014). Visualizations for Matched Pairs Models Using Modified Correspondence Analysis, Communications for Statistical Applications and Methods, 21(4), 275-284.  ]]></description>
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							<item>
								<title><![CDATA[Lee, S.G., Choi, Y.S. and Lee, B.H. (2014). Visualizations of Asymmetric Multidimensional Scaling, The Korean Journal of Applied Statistics,   27(4), 619-627. }]]></title>
								<link>/bbs/yschoi/2535/1457986/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee, S.G., Choi, Y.S. and Lee, B.H. (2014). Visualizations of Asymmetric Multidimensional Scaling, The Korean Journal of Applied Statistics,   27(4), 619-627. ]]></description>
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								<title><![CDATA[Choi, J. and Choi, Y.S. (2014). Standardizing Unstructured Big Data and Visual Interpretation Using MapReduce and Correspondence Analysis, The Korean Journal of Applied Statistics, 27(2), 169-183.}]]></title>
								<link>/bbs/yschoi/2535/1457985/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Choi, J. and Choi, Y.S. (2014). Standardizing Unstructured Big Data and Visual Interpretation Using MapReduce and Correspondence Analysis, The Korean Journal of Applied Statistics, 27(2), 169-183.]]></description>
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								<title><![CDATA[Lee, S.J.  and Choi, Y.S. (2014). Independent Component Biplot,  The Korean Journal of Applied Statistics, 27(1), 31-41.     }]]></title>
								<link>/bbs/yschoi/2535/1457984/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee, S.J.  and Choi, Y.S. (2014). Independent Component Biplot,  The Korean Journal of Applied Statistics, 27(1), 31-41.     ]]></description>
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							<item>
								<title><![CDATA[Choi, T.H. and Choi, Y.S. (2013). Relationship between Physical Fitness and Basic Skill Factors for KTA Tennis Players Using the Semi-Partial Cannonical Correlation Biplot That Removed the Linear Effect of the Set of Covariate Variables from Physical Fitness Factor and Procrustes Analysis,  Journal of the Korean Data Analysis Society, 15(6), 3067-3076.  }]]></title>
								<link>/bbs/yschoi/2535/1457983/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Choi, T.H. and Choi, Y.S. (2013). Relationship between Physical Fitness and Basic Skill Factors for KTA Tennis Players Using the Semi-Partial Cannonical Correlation Biplot That Removed the Linear Effect of the Set of Covariate Variables from Physical Fitness Factor and Procrustes Analysis,  Journal ]]></description>
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								<title><![CDATA[Choi, T.H. and Choi, Y.S. (2012). Relationship between Physical Fitness and Basic Skill Factors for KTA Players Using the Partial Cannonical Correlation Biplot Removing the Linear Effect of the Set of Covariate Variables and Procrustes Analysis, Communications of the Korean Statistical Society , 19(1), 97-106. }]]></title>
								<link>/bbs/yschoi/2535/1457982/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Choi, T.H. and Choi, Y.S. (2012). Relationship between Physical Fitness and Basic Skill Factors for KTA Players Using the Partial Cannonical Correlation Biplot Removing the Linear Effect of the Set of Covariate Variables and Procrustes Analysis, Communications of the Korean Statistical Society , 19(]]></description>
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								<title><![CDATA[Kim, W.H. and Choi, Y.S.(2012). Causal Relationship of the Logistic area for Satisfaction of Military Service, Communications of the Korean Statistical Society , 19(3), 381-393. }]]></title>
								<link>/bbs/yschoi/2535/1457981/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Kim, W.H. and Choi, Y.S.(2012). Causal Relationship of the Logistic area for Satisfaction of Military Service, Communications of the Korean Statistical Society , 19(3), 381-393. ]]></description>
							</item>
						
							<item>
								<title><![CDATA[Lee, B.H., Choi, Y.S. and Shin, S.M.(2012). Semi-Partial Canonical Correlation Biplot ), The Korean Journal of Applied Statistics , 25(3), 521-529.}]]></title>
								<link>/bbs/yschoi/2535/1457980/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Lee, B.H., Choi, Y.S. and Shin, S.M.(2012). Semi-Partial Canonical Correlation Biplot ), The Korean Journal of Applied Statistics , 25(3), 521-529.]]></description>
							</item>
						
							<item>
								<title><![CDATA[Kim, J.G., Choi, Y.S. and Choi, S.K.(2012). Social Network Analysis and It’&#039;s Applications for Co-authors and Key-words Networks in the JKSS, Communications of the Korean Statistical Society , 19(4), 547-558.  }]]></title>
								<link>/bbs/yschoi/2535/1457979/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Kim, J.G., Choi, Y.S. and Choi, S.K.(2012). Social Network Analysis and It’&#039;s Applications for Co-authors and Key-words Networks in the JKSS, Communications of the Korean Statistical Society , 19(4), 547-558.  ]]></description>
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							<item>
								<title><![CDATA[Yeom, A.R . and Choi, Y.S. (2011). Partial Canonical Correlation Biplot), The Korean Journal of Applied Statistics , 24(3),559-566.  }]]></title>
								<link>/bbs/yschoi/2535/1457978/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Yeom, A.R . and Choi, Y.S. (2011). Partial Canonical Correlation Biplot), The Korean Journal of Applied Statistics , 24(3),559-566.]]></description>
							</item>
						
							<item>
								<title><![CDATA[Choi, T.H. and Choi, Y.S. (2010). A Study on the Relationship between Physique, Physical Fitness and Basic Skill Factors of Tennis Players of Korea Tennis Association Using the Generalized Canonical Correlation Biplot and Procrustes Analysis, The Korean Communications in Statistics , 17(6), 1-9. }]]></title>
								<link>/bbs/yschoi/2535/1457977/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Choi, T.H. and Choi, Y.S. (2010). A Study on the Relationship between Physique, Physical Fitness and Basic Skill Factors of Tennis Players of Korea Tennis Association Using the Generalized Canonical Correlation Biplot and Procrustes Analysis, The Korean Communications in Statistics , 17(6), 1-9.]]></description>
							</item>
						
							<item>
								<title><![CDATA[Hong, H.U., Choi, Y.S., Shin, S.M. and Kang, C.W . (2010). A Study on Shape Varibility in Canonical Correlation Biplot with Missing Values, The Korean Journal of Applied Statistics , 23(5), 955-966}]]></title>
								<link>/bbs/yschoi/2535/1457976/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Hong, H.U., Choi, Y.S., Shin, S.M. and Kang, C.W . (2010). A Study on Shape Varibility in Canonical Correlation Biplot with Missing Values, The Korean Journal of Applied Statistics , 23(5), 955-966]]></description>
							</item>
						
							<item>
								<title><![CDATA[Kim, J.G., Choi, Y.S. and Lee, N.Y. (2010). Unbalanced ANOVA for Testing Shape Variability in Statistical Shape Analysis, The Korean Journal of Applied Statistics , 14(1),1-8.}]]></title>
								<link>/bbs/yschoi/2535/1457975/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Kim, J.G., Choi, Y.S. and Lee, N.Y. (2010). Unbalanced ANOVA for Testing Shape Variability in Statistical Shape Analysis, The Korean Journal of Applied Statistics , 14(1),1-8.]]></description>
							</item>
						
							<item>
								<title><![CDATA[Kim, J.G., Choi, Y.S. and . Shin, S.M. (2010). Shape Variability and Classification using PS, MPS and RMS in Statistical Shape Analysis, Far East Journal of Applied Mathematics , 42(1), 49-60.  }]]></title>
								<link>/bbs/yschoi/2535/1457974/artclView.do?layout=unknown</link>
								<pubDate>2016-12-28 00:00:00.0</pubDate>
								<author>최용석</author>
								<description><![CDATA[Kim, J.G., Choi, Y.S. and . Shin, S.M. (2010). Shape Variability and Classification using PS, MPS and RMS in Statistical Shape Analysis, Far East Journal of Applied Mathematics , 42(1), 49-60.  ]]></description>
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