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Partial Canonical Correlation Biplot
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 Title & Authors
Partial Canonical Correlation Biplot
Yeom, Ah-Rim; Choi, Yong-Seok;
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 Abstract
Biplot is a useful graphical method to explore simultaneously rows and columns of two-way data matrix. In particular, canonical correlation biplot is a method for investigating two sets of variables and observations in canonical correlation analysis graphically. For more than three sets of variables, we can apply the generalized canonical correlation biplot in generalized canonical correlation analysis which is an expansion of the canonical correlation analysis. On the other hand, we consider the set of covariate variables which is affecting the linearly two sets of variables. In this case, if we apply the generalized canonical correlation biplot, we cannot clearly interpret the other two sets of variables due to the effect of the set of covariate variables. Therefor, in this paper, we will apply the partial canonical correlation analysis of Rao (1969) removing the linear effect of the set of covariate variables on two sets of variables. We will suggest the partial canonical correlation biplot for inpreting the partial canonical correlation analysis graphically.
 Keywords
Biplot;set of covariate variables;partial canonical correlation analysis;partial canonical correlation biplot;
 Language
Korean
 Cited by
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 References
1.
최용석 (2006). 행렬도 분석, 부산대학교 기초과학연구원 기초과학총서 2, 부산대학교 출판부.

2.
최태훈, 최용석 (2008). 정준상관 행렬도와 군집분석을 응용한 KLPGA 선수의 기술과 경기성적요인에 대한 연관성 분석, 응용통계연구, 21, 429-439. crossref(new window)

3.
최태훈, 최용석 (2010). 일반화 정준상관 행렬도와 프로크러스티즈 분석을 응용한 대한테니스협회 등록 선수의 체격요인, 체력요인 및 기초기술요인에 대한 분석연구, 한국통계학논문집, 17, 917-925. crossref(new window)

4.
최태훈, 최용석, 신상민 (2009). 테니스 그랜드슬램대회의 선수특성요인과 경기용인에 대한 분석연구 -정준상관 행렬도와 프로크러스티즈 분석의 응용-, 응용통계연구, 22, 855-864.

5.
허명회 (1993). 통계상담의 이해, 자유아카데미, 서울.

6.
홍현욱, 최용석, 신상민, 강창완 (2010). 결측값이 있는 정준상관 행렬도의 형상변동 연구, 응용통계연구, 23, 955-966. crossref(new window)

7.
Choi, Y. S. (1991). Resistant Principal Component Analysis, Biplot and Correpondence Anaysis, Unpublished Ph.D. Dissertation, Department of Statistics, Korea University.

8.
Cooley, W. W. and Lohnes, P. R. (1971). Multivariate Data Analysis, Wiley, New York.

9.
Gabriel, K. R. (1971). The biplot graphics display of matrices with applications to principal analysis, Biometrika, 58, 453-467. crossref(new window)

10.
Hotelling, H. (1936). Relations between two sets of variates, Biometrika, 28, 321-377. crossref(new window)

11.
Park, M. R. and Huh, M. H. (1996). Canonical correlation biplot, The Korea Communications in Statistics, 3, 11-19.

12.
Rao, B. (1969). Partial canonical correlations, Trabajos de Estudestica y de Investigacion Oerativa, 20, 211-219. crossref(new window)

13.
Timm, N. H. (2002). Applied Multivariate Analysis, Springer, New York.