1 |
김종덕 (2004). 고유벡터 기저를 이용한 회귀방법의 비교, <한국자료분석학회지>, 6, 205-218
|
2 |
전치혁, 이혜선, 이대원, 장창환 (2006). X-선 회절 데이터에 PLS 기법을 이용한 철광석의 환원율 예측, <한국통계학회 2006년 춘계학술발표회 논문집>, 30
|
3 |
최용석 (2006). <행렬도 분석>, 부산대학교 기초과학연구원
|
4 |
허명회 (1999). <다변량 수량화>, 자유아카데미
|
5 |
Helland, I. (2006). Partial least squares regression, The Encyclopedia of Statistical Sciences, 2nd ed., (edited by Kotz), 5957-5962
|
6 |
Kim, J. D. (2001). A general weighting scheme of partial least squares regression, Journal of the Korean Data Analysis Society, 3, 11-21
|
7 |
Kim, J. D. (2003a). Alternative expressions of regression vector for principal component regression and partial least squares regression, Journal of the Korean Data Analysis Society, 5, 17-26
|
8 |
Kim, J. D. (2003b). Projection matrices for partial least squares regression and principal component regression, Journal of the Korean Data Analysis Society, 5, 787-800
|
9 |
Park, M. and Huh, M. H. (1996a). Canonical correlation biplot, The Korean Communications in Statistics, 3, 11-19
|
10 |
Park, M. and Huh, M. H. (1996b). Quantification plots for several sets of variables, Journal of the Korean Statistical Society, 25, 589-601
|
11 |
Rosipal, R. and Kramer, N. (2006). Overview and recent advances in partial least squares, Lecture Notes in Computer Science, 3940, 34-51, Springer-Verlag
|
12 |
Wegelin, J. A. (2000). A survey of partial least squares (PLS) methods, with emphasis on the two-block case, Technical report, 371, The University of Washington, Department of Statistics
|
13 |
Barker, M. and Rayens, W. (2003). Partial least squares for discrimination, Journal of Chemometrics, 17, 166-173
DOI
ScienceOn
|
14 |
Kim, J. D. (2003c). Unified non-iterative algorithm for principal component regression, partialleast squares and ordinary least squares, Journal of Korean Data and Information Science Society, 14, 355-366
|
15 |
박성현, 최엄문, 박창순 (1999). 편최소제곱 반응표면함수를 이용한 공정 최적화에 관한 연구, <품질경영학회지>, 27, 237-250
|